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Experience Level
Entry Level
Qualifications
We are looking for candidates with:Proficiency in data engineering tools and methodologies. Experience with AI technologies and their application in finance. Strong analytical and problem-solving skills. Excellent communication abilities to convey complex data insights. A degree in Computer Science, Finance, or a related field is preferred.
About the job
Jobgether is hiring a Finance Staff Data Engineer, AI Native, located in Canada. This role centers on supporting financial operations with data engineering expertise while helping to advance AI-driven solutions throughout the company.
Role overview
The Finance Staff Data Engineer works closely with the finance department to enhance how data is used in daily operations. The position aims to improve decision-making and efficiency by building and maintaining data systems tailored to finance needs.
Key focus areas
Support financial operations by developing and optimizing data pipelines and tools
Advance the use of AI-driven solutions within finance and across the organization
Enable the finance team to make better decisions through improved access to data
Location
This position is based in Canada.
About Jobgether
Jobgether is a forward-thinking company dedicated to revolutionizing the way organizations approach staffing and finance. We leverage cutting-edge technology and AI to provide exceptional solutions that empower businesses and enhance their operational capabilities. Join us and be part of a team that values innovation, collaboration, and growth.
Jobgether is hiring a Finance Staff Data Engineer, AI Native, located in Canada. This role centers on supporting financial operations with data engineering expertise while helping to advance AI-driven solutions throughout the company. Role overview The Finance Staff Data Engineer works closely with the finance department to enhance how data is used in daily operations. The position aims to improve decision-making and efficiency by building and maintaining data systems tailored to finance needs. Key focus areas Support financial operations by developing and optimizing data pipelines and tools Advance the use of AI-driven solutions within finance and across the organization Enable the finance team to make better decisions through improved access to data Location This position is based in Canada.
Join Our Team as a Senior AI-Native Software EngineerLocation: Preferred Montreal, Canada (hybrid), Austin, TX (hybrid), or anywhere on the East CoastLansweeper is transforming its engineering framework towards an AI-native development paradigm. We are seeking a Senior AI-Native Software Engineer to spearhead the development of robust and scalable systems, harnessing AI as a significant development catalyst.Your mission is to design and deliver high-quality, production-grade software within an AI-enhanced workflow, ensuring engineering excellence, performance, and architectural integrity.In the coming phase, you will collaborate with the Redjack integration team, focusing on system quality, architectural clarity, and scalable design as various AI-assisted development initiatives operate concurrently.Key ChallengesAs a Senior AI-Native Software Engineer, you will navigate the following challenges:Upholding engineering quality and system integrity in an AI-supported development environmentEnhancing system scalability while ensuring performance, reliability, and architectural clarityManaging simultaneous AI-driven development workflows while maintaining technical coherencePrimary ResponsibilitiesCraft and develop maintainable, scalable, observable, and rigorously tested software systemsEngage in an AI-augmented development workflow: break down problems, guide AI tools, review AI-generated code, and assure production-grade qualityParticipate in architectural discussions, long-term system evolution, and strategic technical directionUtilize strong system thinking across data models, APIs, distributed systems, and service boundariesGenerate clear technical documentation, structured prompts, and design proposals to boost collaboration between engineers and AI systemsMentor fellow engineers and work cross-functionally with Product, UX, and other Engineering teams
Acquia is looking for a Staff AI Engineer to help shape the future of AI-powered solutions for digital experiences. This remote role is open to candidates across Canada. Role overview This position centers on designing, developing, and implementing advanced AI technologies to improve customer experiences. The Staff AI Engineer will work closely with colleagues from various disciplines, bringing technical expertise and creative problem-solving to every project. Collaboration and impact Expect frequent collaboration with cross-functional teams, where your technical insights and ideas will influence Acquia’s products and services. The work supports Acquia’s mission to remain a leader in the digital experience platform industry.
Join Our Team as an AI Speech Tester!At Terry Soot Management Group (TSMG), we pride ourselves on being at the forefront of field data collection since our inception in 2017 in Europe.Our mission is to gather data in scenarios where automation falls short. We excel at counting features, capturing images, creating videos, recording speech, and thoroughly scanning areas to provide you with the insights necessary for informed decision-making. Our diverse teams across Europe and North America are eager to embrace new challenges.Project OverviewWe are currently seeking native French speakers from Canada to engage in a conversational audio data collection project aimed at enhancing advanced speech and conversational AI technologies.Participants will engage in natural, unscripted conversations with another participant, all conducted in their native language. These discussions will be recorded in a controlled acoustic environment and facilitated by a moderator.The audio collected will play a crucial role in the training and improvement of large-scale speech recognition and conversational AI systems.
Forward Financing is hiring a Staff Software Engineer specializing in Applied AI. This remote position is open to those based in Ontario, Canada. Role overview This role centers on developing and improving AI-driven solutions that power Forward Financing’s financial services products. Collaboration with engineering, product, and operations teams is a key part of the work, as is delivering machine learning models that help drive efficiency and improve customer experiences. What you will do Design, build, and refine AI-based features for financial products. Partner with cross-functional teams to implement machine learning models that support business goals. Optimize current AI systems to streamline workflows and strengthen business outcomes.
Full-time|$228K/yr - $313.5K/yr|On-site|Kitchener-Waterloo, ON; Toronto, ON
About FaireFaire is a pioneering online wholesale marketplace that champions the belief in localized commerce. Our mission is to empower independent retailers globally, who collectively generate more revenue than giants like Walmart and Amazon, by providing them with the technology, data insights, and machine learning tools they need to thrive. Imagine your favorite local boutique — we connect them with exceptional products from around the world, leveling the playing field against large retail and e-commerce giants. We believe that with the right tools, small businesses can compete effectively in today's market.By nurturing the growth of independent businesses, Faire is driving positive economic impact in local communities worldwide. We invite innovative, resourceful, and passionate individuals to join our mission as we lead the shop local movement. If you share our belief in the power of community, we would love to welcome you to ours.About this RoleOur Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams across Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, ensuring they can perform at their best without worrying about the underlying infrastructure. We empower product engineering teams to develop and operate software with unparalleled speed and quality, emphasizing strong engineering practices, an excellent developer experience, security, testability, ease of maintenance, and scalability to serve millions of users. We are committed to best practices to ensure optimal availability and performance.This role is ideal for a seasoned technical leader in the data domain, with influence across multiple Platform and Product groups.Within the Platform group:The Data Infrastructure team is tasked with building and managing a secure, reliable, and cost-effective platform for data ingestion, storage, compute, orchestration, and governance.The Analytics Platform team focuses on creating effective data warehousing capabilities, essential data assets, and tools designed to expedite data-driven analytics, with a goal of minimizing the time from data acquisition to insights.Additionally, this role involves influencing and collaborating with all data and analytics functions at Faire. The Product Analytics Engineering (PAE) function enables domain...
Full-time|On-site|Canada, Toronto; USA, Durham; USA, Miami; USA, Palo Alto
About UsNuBank is recognized as one of the largest digital financial platforms globally, serving over 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to combat complexity and empower individuals, we are transforming financial services in Latin America, marking just the beginning of the vibrant future we are crafting.As a publicly traded company on the New York Stock Exchange (NYSE: NU), we leverage proprietary technology, data intelligence, and an efficient operational model to provide financial products that are straightforward, accessible, and human-centric.Our contributions have been acknowledged in prestigious global rankings, including Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Explore more on our career page at NuBank Careers.About the RoleAs a Staff Software Engineer at NuBank, you will play a pivotal role in the AI Private Banker team, our intelligent financial partner designed to assist millions of customers in understanding their finances, making informed decisions, and executing actions effortlessly. You will be responsible for defining the technical architecture that supports conversational AI, recommendation engines, and tailored financial experiences across mobile and web platforms.Your expertise will span the entire stack, from developing Flutter mobile applications that engage millions of users to architecting distributed backend systems that facilitate real-time recommendations and conversational AI interactions. This role is not just about feature development; it’s about establishing a robust engineering foundation that democratizes financial empowerment at scale.Your technical decisions will have a direct impact on how millions of individuals navigate their financial journeys. You will be at the forefront of innovation, merging banking with cutting-edge AI technologies, crafting systems that are both groundbreaking and dependable. Join a team of inquisitive minds reshaping the possibilities in this space.
Tali AI is a rapidly expanding startup in Canada dedicated to enhancing healthcare accessibility through artificial intelligence. We are developing a pioneering AI platform designed to streamline clinical workflows by automating data collection, processing, and sharing. This allows healthcare professionals to concentrate on delivering quality care. Our platform is utilized by thousands of clinicians across Canada and the United States, spanning various specialties and seamlessly integrated with the complex landscape of North American health record systems. Our technical vision is to create a comprehensive operating system for clinical workflows, enabling healthcare teams to customize the platform to automate their data management tasks.We tackle genuinely challenging problems:Establishing real-time audio pipelines where latency impacts outcomes and accuracy is critical.Integrating with a diverse ecosystem of clinical software, including health records, billing, scheduling, referral management, and more.Creating reliable AI workflows and agents in a domain where errors can have significant consequences.Implementing a privacy and compliance framework that is robust by design.We operate in a fast-paced market that values rapid innovation, while building and maintaining clinician trust is paramount.
Join MongoDB as a Staff Engineer focusing on Data Migration, where you will play a crucial role in helping enterprises seamlessly transition their data to cloud-based environments. Your expertise in data management and migration processes will be pivotal in enhancing our clients' experiences and ensuring data integrity.
About CorityAt Cority, we empower organizations to proactively manage risks across their operations in real-time. Our innovative EHS+ platform seamlessly integrates people, data, and AI technology to deliver trustworthy insights, automate impactful workflows, and enhance decision-making processes. Unlike traditional solutions that address risks individually, Cority's comprehensive approach covers environmental management, employee health, safety, quality, and sustainability. As a leader in the EHS+ domain for over 40 years, Cority is honored to be recognized by top analysts and trusted by more than 1,500 complex organizations globally. With numerous accolades for our exceptional employee culture and business performance, we invite you to explore more at www.cority.com. We are seeking a dedicated Staff AI Software Engineer to join our dynamic team at Cority. In this fast-paced and collaborative environment, you will play a pivotal role in our success. The ideal candidate will possess exceptional technical skills and a strong drive to add immediate value while shaping our long-term vision. This is an exciting opportunity to collaborate with a talented group committed to delivering excellence for our customers.As a Staff AI Software Engineer, you will report to the Development Manager and be primarily responsible for designing and enhancing Cority's core software. You will work closely with the Product Development team to create software that aligns with client requirements. We are looking for an experienced AI Engineer with a focus on developing agents and agentic systems, including task orchestration agents, workflow automation agents, retrieval-augmented agents, research/coding agents, multimodal agents, and domain-specific autonomous agents. This full-stack AI engineering role is perfect for someone who thrives on delivering rapid MVPs to stable production environments, exercises high ownership, and excels at solving complex problems. Candidates should have successfully built and deployed at least two AI agents in production within the last 12 months.
At Veeva Systems, we are a purpose-driven organization at the forefront of the industry cloud, empowering life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities on the horizon.Central to our mission are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work from home or in the office, allowing you to thrive in the environment that suits you best.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.
Join Us in Transforming the Grocery ExperienceAt Instacart, we believe that everyone deserves access to the food they love, while also having the opportunity to spend quality time with family and friends. We view grocery delivery not just as a service, but as a complex challenge full of possibilities to meet the diverse needs of our community. Our goal is to provide a vital service that customers trust for their grocery and household needs, while also offering flexible earning opportunities for Instacart Personal Shoppers.Instacart has become an essential resource for millions, and we are expanding our team to help propel our mission forward. If you are ready to engage in meaningful work that impacts lives, we welcome you to join us.Flexible Work EnvironmentAt Instacart, we understand that there is no one-size-fits-all approach to productivity. Our team members enjoy the flexibility to choose their ideal work environment—whether from home, a shared workspace, or their favorite café—while fostering community connections through regular in-person events. Discover more about our flexible work culture.Role OverviewThe Data Infrastructure team at Instacart is responsible for building and maintaining the systems that drive our data ecosystem, including a cutting-edge open data lakehouse based on Apache Iceberg, a multi-engine computing platform for both streaming and analytical workloads, and user-friendly tools that empower our Product, Data Science, Machine Learning, Ads, Finance, and engineering teams to work swiftly with data.We are seeking a Staff Software Engineer specializing in Data Infrastructure to join our Data Governance and Foundations Team. In this pivotal role, you will take on the responsibility of leading the architecture and implementation of our open lakehouse foundation, governance strategies, and multi-engine compute initiatives—striking a balance between current reliability and long-term scalability, maturity, and cost-effectiveness.You will collaborate closely with engineering leadership and stakeholders across various departments, including Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. In a fast-paced environment where your architectural decisions carry significant technical and financial implications, you will have the autonomy to make impactful contributions. If you enjoy tackling complex, large-scale challenges and are willing to roll up your sleeves, this is your chance to influence the direction of our data infrastructure.
Full-time|CA$95K/yr - CA$117.8K/yr|On-site|Toronto, ON
League Inc. builds a healthcare consumer experience platform powered by artificial intelligence. Since 2014, the company has reached over 63 million people worldwide, working with payers, providers, and consumer health organizations to deliver personalized digital healthcare solutions. League supports well-known brands including Highmark Health, Manulife, Medibank, and Shoppers Drug Mart, and has raised more than $285 million in venture capital. Role overview This intermediate Software Engineer role focuses on Android development with a multistack and AI-native approach. The position covers mobile (Android/iOS), web, and platform engineering, emphasizing the creation of scalable systems, developer tools, and shared features that support League’s applications across Android, iOS, web, and backend services. Work involves tackling complex, cross-platform challenges from start to finish. Success in this role requires a systems-oriented mindset, strong engineering fundamentals, and comfort using AI to accelerate development and improve code quality. League values engineers who look beyond a single platform to consider the broader system. Team focus: Member Portal The Member Portal team supports millions of users as they check coverage, manage claims, and access ID cards on web, iOS, and Android. The team aims to simplify healthcare navigation and use AI to help members better understand and use their plans. The work brings real-world challenges and opportunities to make a tangible difference for users. What you will do Build and maintain platform capabilities and shared systems for mobile (Android), backend, and web Contribute across the stack using Kotlin, Swift, backend services, APIs, and developer tooling as needed Help design and evolve internal developer tools, SDKs, and platform infrastructure Participate in full system design, including architectural decisions and trade-off analysis
Full-time|On-site|Vancouver, British Columbia, Canada
About this OpportunityJoin a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.The RoleAs a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.Key ResponsibilitiesDefine and lead the technical vision for machine learning solutions across our product portfolio.Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.Architect robust, scalable microservices, including both synchronous and asynchronous web services.Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.Promote engineering excellence, system resilience, and continuous improvement in operations.
Affirm is looking for a Staff Analytics Engineer to support the Subledger Platform. This remote role in Canada centers on building analytics solutions that strengthen financial reporting and compliance for the finance team. Role overview This position focuses on using analytical expertise to help the finance team make informed decisions. The work includes developing analytics tools and processes that improve how financial data is reported and ensure compliance standards are met. Collaboration Working closely with cross-functional partners, the Staff Analytics Engineer will contribute to projects that support both growth and operational improvements across the organization.
Role overview Harvey seeks a Staff Software Engineer in Toronto to drive the evolution of its AI Platform. The focus is on designing and building scalable systems that can adapt to business needs and deliver reliable performance. Key responsibilities Architect and develop essential components for the AI Platform, prioritizing both performance and scalability. Collaborate with engineers and data scientists to address complex technical challenges. Enhance the platform’s stability, speed, and overall functionality. Collaboration and impact This role works alongside a talented group in engineering and data science. Contributions will have a direct effect on the platform’s capabilities and support Harvey’s business outcomes.
Engineering Manager - Data & AIAbout UsProcurify is at the forefront of Intelligent Spend Management, dedicated to providing organizations with unparalleled visibility and control over their business expenditures. Our cutting-edge platform integrates data from procurement, accounts payable, and expenses, enabling finance and operations teams to capture, analyze, and optimize every dollar spent. As a remote-first company, we are backed by top investors, empowering mid-market organizations to innovate their spend management practices.The OpportunityWe are seeking an Engineering Manager to spearhead our Data/AI team, which lies at the heart of our platform's intelligence. This pivotal team is responsible for a suite of products that utilize Machine Learning and AI, assisting our clients in streamlining their Intake to Pay workflows while saving time and enhancing decision-making.In this role, you will oversee a team of AI and Data Engineers, acting as a technical leader within the business domain. Collaborating closely with the Director of Platform Engineering, you will cultivate technical leadership and foster a highly engaged, high-performing team. You appreciate accountability and possess the ability to merge strategic foresight with pragmatic execution.What You'll DoLead & Mentor: Guide a team of 6-8 engineers, offering coaching on technical excellence, promoting individual career advancement, and fostering a high-performance culture centered on trust and collaboration.Drive Velocity: Inspire your team to consistently meet ambitious objectives. You will establish success metrics, monitor progress transparently, and communicate effectively with stakeholders to ensure alignment and celebrate achievements.Own a Complex Domain: Direct the technical strategy and long-term vision for the Data/AI team. Design a scalable data architecture while ensuring that all designs are architecturally robust, scalable, secure, and adhere to industry best practices.Balance & Strategize: Strategically manage the repayment of technical debt while facilitating new feature development. You will be instrumental in enhancing both developer and product velocity for long-term success.Evolve our Architecture: Lead your team in the design, creation, evolution, and maintenance of scalable and efficient data pipelines, model deployment, and monitoring solutions.
Luxury Presence is revolutionizing the real estate industry by developing an AI-driven growth platform. With the support of esteemed investors like Bessemer Venture Partners, we are a Series C company poised to achieve $100M in annual recurring revenue within the next six months. Our platform is trusted by over 87,000 real estate professionals, including more than 30% of the WSJ Real Trends top 100 agents in the United States, to effectively manage and expand their businesses.About the RoleWe are on the lookout for a Senior Software Engineer to enhance our MLS data platform team. In this role, you will develop resilient data pipelines and backend services that drive:• Top-notch MLS and property data sourced from over 400 feeds• Efficient property discovery and search functionalities on agent websites• Tailored listing recommendations and innovative data-driven features• Conversational and operational AI agents that enhance internal workflows• An evaluation and monitoring framework that continually refines these systemsThis position bridges backend engineering, data infrastructure, and AI-powered solutions.Meet the Data Platform TeamOur mission is to ensure that reliable MLS listing data and user interaction data are always accessible to our products and clients. Our diverse team, comprising data engineers and software engineers, is responsible for the entire listing pipeline, from ingestion and transformation to normalization across 400+ MLS feeds and additional data sources.We also expand the platform to gather user activity data for features like personalized listing recommendations, and we develop AI agents that automate processes such as feed onboarding and issue triage, minimizing manual tasks for our internal teams and clients, thus facilitating faster business impact from data.Key ResponsibilitiesTechnical Leadership & Architecture• Oversee the comprehensive architecture for MLS and property data, including streaming and batch pipelines, microservices, storage solutions, and APIs• Design and enhance event-driven, Kafka-based data flows that support listing ingestion, enrichment, recommendations, and more.
Full-time|Remote|Remote, Canada; Remote, Ireland; Remote, Netherlands; Remote, United Kingdom; Remote, US
GitLab is the leading intelligent orchestration platform for DevSecOps, empowering organizations to enhance developer productivity, streamline operational efficiency, mitigate security and compliance risks, and accelerate digital transformation. With over 50 million registered users, including more than 50% of the Fortune 100 companies, GitLab is trusted for delivering better, more secure software at speed.We believe in applying AI as a fundamental productivity enhancer, and we expect all team members to integrate AI into their workflows to boost efficiency, foster innovation, and create significant impact. At GitLab, your career can soar, your ideas can thrive, and every voice is heard. Our high-performance culture is guided by our values and a commitment to continuous knowledge sharing, allowing our team to achieve their full potential while collaborating with industry leaders to tackle complex challenges. Join us in co-creating the future as we revolutionize software development.Role OverviewAs a Staff Backend Engineer (AI) within the Verify stage at GitLab, you will be instrumental in shaping and scaling the foundational infrastructure for GitLab CI. You will play a vital role in the integration of AI into CI/CD workflows, impacting the performance, reliability, and usability for users managing millions of CI jobs, from small teams to large enterprises.AI is a primary focus this year. In this position, you will not only utilize AI tools but also define how we design, develop, and iterate on AI-assisted and autonomous CI experiences. You will establish benchmarks for excellence across our AI agent portfolio, including success metrics, behavior instrumentation in production, and considerations for the limitations of large language models. Additionally, you will aid in the responsible integration of GitLab's Duo Agent Platform into CI workflows at scale, ensuring a foundation that is fast, reliable, secure, and observable.We have ambitious objectives for Agentic CI in FY27. As a Staff Engineer, you will:...
Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.
Jobgether is hiring a Finance Staff Data Engineer, AI Native, located in Canada. This role centers on supporting financial operations with data engineering expertise while helping to advance AI-driven solutions throughout the company. Role overview The Finance Staff Data Engineer works closely with the finance department to enhance how data is used in daily operations. The position aims to improve decision-making and efficiency by building and maintaining data systems tailored to finance needs. Key focus areas Support financial operations by developing and optimizing data pipelines and tools Advance the use of AI-driven solutions within finance and across the organization Enable the finance team to make better decisions through improved access to data Location This position is based in Canada.
Join Our Team as a Senior AI-Native Software EngineerLocation: Preferred Montreal, Canada (hybrid), Austin, TX (hybrid), or anywhere on the East CoastLansweeper is transforming its engineering framework towards an AI-native development paradigm. We are seeking a Senior AI-Native Software Engineer to spearhead the development of robust and scalable systems, harnessing AI as a significant development catalyst.Your mission is to design and deliver high-quality, production-grade software within an AI-enhanced workflow, ensuring engineering excellence, performance, and architectural integrity.In the coming phase, you will collaborate with the Redjack integration team, focusing on system quality, architectural clarity, and scalable design as various AI-assisted development initiatives operate concurrently.Key ChallengesAs a Senior AI-Native Software Engineer, you will navigate the following challenges:Upholding engineering quality and system integrity in an AI-supported development environmentEnhancing system scalability while ensuring performance, reliability, and architectural clarityManaging simultaneous AI-driven development workflows while maintaining technical coherencePrimary ResponsibilitiesCraft and develop maintainable, scalable, observable, and rigorously tested software systemsEngage in an AI-augmented development workflow: break down problems, guide AI tools, review AI-generated code, and assure production-grade qualityParticipate in architectural discussions, long-term system evolution, and strategic technical directionUtilize strong system thinking across data models, APIs, distributed systems, and service boundariesGenerate clear technical documentation, structured prompts, and design proposals to boost collaboration between engineers and AI systemsMentor fellow engineers and work cross-functionally with Product, UX, and other Engineering teams
Acquia is looking for a Staff AI Engineer to help shape the future of AI-powered solutions for digital experiences. This remote role is open to candidates across Canada. Role overview This position centers on designing, developing, and implementing advanced AI technologies to improve customer experiences. The Staff AI Engineer will work closely with colleagues from various disciplines, bringing technical expertise and creative problem-solving to every project. Collaboration and impact Expect frequent collaboration with cross-functional teams, where your technical insights and ideas will influence Acquia’s products and services. The work supports Acquia’s mission to remain a leader in the digital experience platform industry.
Join Our Team as an AI Speech Tester!At Terry Soot Management Group (TSMG), we pride ourselves on being at the forefront of field data collection since our inception in 2017 in Europe.Our mission is to gather data in scenarios where automation falls short. We excel at counting features, capturing images, creating videos, recording speech, and thoroughly scanning areas to provide you with the insights necessary for informed decision-making. Our diverse teams across Europe and North America are eager to embrace new challenges.Project OverviewWe are currently seeking native French speakers from Canada to engage in a conversational audio data collection project aimed at enhancing advanced speech and conversational AI technologies.Participants will engage in natural, unscripted conversations with another participant, all conducted in their native language. These discussions will be recorded in a controlled acoustic environment and facilitated by a moderator.The audio collected will play a crucial role in the training and improvement of large-scale speech recognition and conversational AI systems.
Forward Financing is hiring a Staff Software Engineer specializing in Applied AI. This remote position is open to those based in Ontario, Canada. Role overview This role centers on developing and improving AI-driven solutions that power Forward Financing’s financial services products. Collaboration with engineering, product, and operations teams is a key part of the work, as is delivering machine learning models that help drive efficiency and improve customer experiences. What you will do Design, build, and refine AI-based features for financial products. Partner with cross-functional teams to implement machine learning models that support business goals. Optimize current AI systems to streamline workflows and strengthen business outcomes.
Full-time|$228K/yr - $313.5K/yr|On-site|Kitchener-Waterloo, ON; Toronto, ON
About FaireFaire is a pioneering online wholesale marketplace that champions the belief in localized commerce. Our mission is to empower independent retailers globally, who collectively generate more revenue than giants like Walmart and Amazon, by providing them with the technology, data insights, and machine learning tools they need to thrive. Imagine your favorite local boutique — we connect them with exceptional products from around the world, leveling the playing field against large retail and e-commerce giants. We believe that with the right tools, small businesses can compete effectively in today's market.By nurturing the growth of independent businesses, Faire is driving positive economic impact in local communities worldwide. We invite innovative, resourceful, and passionate individuals to join our mission as we lead the shop local movement. If you share our belief in the power of community, we would love to welcome you to ours.About this RoleOur Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams across Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, ensuring they can perform at their best without worrying about the underlying infrastructure. We empower product engineering teams to develop and operate software with unparalleled speed and quality, emphasizing strong engineering practices, an excellent developer experience, security, testability, ease of maintenance, and scalability to serve millions of users. We are committed to best practices to ensure optimal availability and performance.This role is ideal for a seasoned technical leader in the data domain, with influence across multiple Platform and Product groups.Within the Platform group:The Data Infrastructure team is tasked with building and managing a secure, reliable, and cost-effective platform for data ingestion, storage, compute, orchestration, and governance.The Analytics Platform team focuses on creating effective data warehousing capabilities, essential data assets, and tools designed to expedite data-driven analytics, with a goal of minimizing the time from data acquisition to insights.Additionally, this role involves influencing and collaborating with all data and analytics functions at Faire. The Product Analytics Engineering (PAE) function enables domain...
Full-time|On-site|Canada, Toronto; USA, Durham; USA, Miami; USA, Palo Alto
About UsNuBank is recognized as one of the largest digital financial platforms globally, serving over 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to combat complexity and empower individuals, we are transforming financial services in Latin America, marking just the beginning of the vibrant future we are crafting.As a publicly traded company on the New York Stock Exchange (NYSE: NU), we leverage proprietary technology, data intelligence, and an efficient operational model to provide financial products that are straightforward, accessible, and human-centric.Our contributions have been acknowledged in prestigious global rankings, including Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Explore more on our career page at NuBank Careers.About the RoleAs a Staff Software Engineer at NuBank, you will play a pivotal role in the AI Private Banker team, our intelligent financial partner designed to assist millions of customers in understanding their finances, making informed decisions, and executing actions effortlessly. You will be responsible for defining the technical architecture that supports conversational AI, recommendation engines, and tailored financial experiences across mobile and web platforms.Your expertise will span the entire stack, from developing Flutter mobile applications that engage millions of users to architecting distributed backend systems that facilitate real-time recommendations and conversational AI interactions. This role is not just about feature development; it’s about establishing a robust engineering foundation that democratizes financial empowerment at scale.Your technical decisions will have a direct impact on how millions of individuals navigate their financial journeys. You will be at the forefront of innovation, merging banking with cutting-edge AI technologies, crafting systems that are both groundbreaking and dependable. Join a team of inquisitive minds reshaping the possibilities in this space.
Tali AI is a rapidly expanding startup in Canada dedicated to enhancing healthcare accessibility through artificial intelligence. We are developing a pioneering AI platform designed to streamline clinical workflows by automating data collection, processing, and sharing. This allows healthcare professionals to concentrate on delivering quality care. Our platform is utilized by thousands of clinicians across Canada and the United States, spanning various specialties and seamlessly integrated with the complex landscape of North American health record systems. Our technical vision is to create a comprehensive operating system for clinical workflows, enabling healthcare teams to customize the platform to automate their data management tasks.We tackle genuinely challenging problems:Establishing real-time audio pipelines where latency impacts outcomes and accuracy is critical.Integrating with a diverse ecosystem of clinical software, including health records, billing, scheduling, referral management, and more.Creating reliable AI workflows and agents in a domain where errors can have significant consequences.Implementing a privacy and compliance framework that is robust by design.We operate in a fast-paced market that values rapid innovation, while building and maintaining clinician trust is paramount.
Join MongoDB as a Staff Engineer focusing on Data Migration, where you will play a crucial role in helping enterprises seamlessly transition their data to cloud-based environments. Your expertise in data management and migration processes will be pivotal in enhancing our clients' experiences and ensuring data integrity.
About CorityAt Cority, we empower organizations to proactively manage risks across their operations in real-time. Our innovative EHS+ platform seamlessly integrates people, data, and AI technology to deliver trustworthy insights, automate impactful workflows, and enhance decision-making processes. Unlike traditional solutions that address risks individually, Cority's comprehensive approach covers environmental management, employee health, safety, quality, and sustainability. As a leader in the EHS+ domain for over 40 years, Cority is honored to be recognized by top analysts and trusted by more than 1,500 complex organizations globally. With numerous accolades for our exceptional employee culture and business performance, we invite you to explore more at www.cority.com. We are seeking a dedicated Staff AI Software Engineer to join our dynamic team at Cority. In this fast-paced and collaborative environment, you will play a pivotal role in our success. The ideal candidate will possess exceptional technical skills and a strong drive to add immediate value while shaping our long-term vision. This is an exciting opportunity to collaborate with a talented group committed to delivering excellence for our customers.As a Staff AI Software Engineer, you will report to the Development Manager and be primarily responsible for designing and enhancing Cority's core software. You will work closely with the Product Development team to create software that aligns with client requirements. We are looking for an experienced AI Engineer with a focus on developing agents and agentic systems, including task orchestration agents, workflow automation agents, retrieval-augmented agents, research/coding agents, multimodal agents, and domain-specific autonomous agents. This full-stack AI engineering role is perfect for someone who thrives on delivering rapid MVPs to stable production environments, exercises high ownership, and excels at solving complex problems. Candidates should have successfully built and deployed at least two AI agents in production within the last 12 months.
At Veeva Systems, we are a purpose-driven organization at the forefront of the industry cloud, empowering life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities on the horizon.Central to our mission are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work from home or in the office, allowing you to thrive in the environment that suits you best.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.
Join Us in Transforming the Grocery ExperienceAt Instacart, we believe that everyone deserves access to the food they love, while also having the opportunity to spend quality time with family and friends. We view grocery delivery not just as a service, but as a complex challenge full of possibilities to meet the diverse needs of our community. Our goal is to provide a vital service that customers trust for their grocery and household needs, while also offering flexible earning opportunities for Instacart Personal Shoppers.Instacart has become an essential resource for millions, and we are expanding our team to help propel our mission forward. If you are ready to engage in meaningful work that impacts lives, we welcome you to join us.Flexible Work EnvironmentAt Instacart, we understand that there is no one-size-fits-all approach to productivity. Our team members enjoy the flexibility to choose their ideal work environment—whether from home, a shared workspace, or their favorite café—while fostering community connections through regular in-person events. Discover more about our flexible work culture.Role OverviewThe Data Infrastructure team at Instacart is responsible for building and maintaining the systems that drive our data ecosystem, including a cutting-edge open data lakehouse based on Apache Iceberg, a multi-engine computing platform for both streaming and analytical workloads, and user-friendly tools that empower our Product, Data Science, Machine Learning, Ads, Finance, and engineering teams to work swiftly with data.We are seeking a Staff Software Engineer specializing in Data Infrastructure to join our Data Governance and Foundations Team. In this pivotal role, you will take on the responsibility of leading the architecture and implementation of our open lakehouse foundation, governance strategies, and multi-engine compute initiatives—striking a balance between current reliability and long-term scalability, maturity, and cost-effectiveness.You will collaborate closely with engineering leadership and stakeholders across various departments, including Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. In a fast-paced environment where your architectural decisions carry significant technical and financial implications, you will have the autonomy to make impactful contributions. If you enjoy tackling complex, large-scale challenges and are willing to roll up your sleeves, this is your chance to influence the direction of our data infrastructure.
Full-time|CA$95K/yr - CA$117.8K/yr|On-site|Toronto, ON
League Inc. builds a healthcare consumer experience platform powered by artificial intelligence. Since 2014, the company has reached over 63 million people worldwide, working with payers, providers, and consumer health organizations to deliver personalized digital healthcare solutions. League supports well-known brands including Highmark Health, Manulife, Medibank, and Shoppers Drug Mart, and has raised more than $285 million in venture capital. Role overview This intermediate Software Engineer role focuses on Android development with a multistack and AI-native approach. The position covers mobile (Android/iOS), web, and platform engineering, emphasizing the creation of scalable systems, developer tools, and shared features that support League’s applications across Android, iOS, web, and backend services. Work involves tackling complex, cross-platform challenges from start to finish. Success in this role requires a systems-oriented mindset, strong engineering fundamentals, and comfort using AI to accelerate development and improve code quality. League values engineers who look beyond a single platform to consider the broader system. Team focus: Member Portal The Member Portal team supports millions of users as they check coverage, manage claims, and access ID cards on web, iOS, and Android. The team aims to simplify healthcare navigation and use AI to help members better understand and use their plans. The work brings real-world challenges and opportunities to make a tangible difference for users. What you will do Build and maintain platform capabilities and shared systems for mobile (Android), backend, and web Contribute across the stack using Kotlin, Swift, backend services, APIs, and developer tooling as needed Help design and evolve internal developer tools, SDKs, and platform infrastructure Participate in full system design, including architectural decisions and trade-off analysis
Full-time|On-site|Vancouver, British Columbia, Canada
About this OpportunityJoin a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.The RoleAs a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.Key ResponsibilitiesDefine and lead the technical vision for machine learning solutions across our product portfolio.Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.Architect robust, scalable microservices, including both synchronous and asynchronous web services.Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.Promote engineering excellence, system resilience, and continuous improvement in operations.
Affirm is looking for a Staff Analytics Engineer to support the Subledger Platform. This remote role in Canada centers on building analytics solutions that strengthen financial reporting and compliance for the finance team. Role overview This position focuses on using analytical expertise to help the finance team make informed decisions. The work includes developing analytics tools and processes that improve how financial data is reported and ensure compliance standards are met. Collaboration Working closely with cross-functional partners, the Staff Analytics Engineer will contribute to projects that support both growth and operational improvements across the organization.
Role overview Harvey seeks a Staff Software Engineer in Toronto to drive the evolution of its AI Platform. The focus is on designing and building scalable systems that can adapt to business needs and deliver reliable performance. Key responsibilities Architect and develop essential components for the AI Platform, prioritizing both performance and scalability. Collaborate with engineers and data scientists to address complex technical challenges. Enhance the platform’s stability, speed, and overall functionality. Collaboration and impact This role works alongside a talented group in engineering and data science. Contributions will have a direct effect on the platform’s capabilities and support Harvey’s business outcomes.
Engineering Manager - Data & AIAbout UsProcurify is at the forefront of Intelligent Spend Management, dedicated to providing organizations with unparalleled visibility and control over their business expenditures. Our cutting-edge platform integrates data from procurement, accounts payable, and expenses, enabling finance and operations teams to capture, analyze, and optimize every dollar spent. As a remote-first company, we are backed by top investors, empowering mid-market organizations to innovate their spend management practices.The OpportunityWe are seeking an Engineering Manager to spearhead our Data/AI team, which lies at the heart of our platform's intelligence. This pivotal team is responsible for a suite of products that utilize Machine Learning and AI, assisting our clients in streamlining their Intake to Pay workflows while saving time and enhancing decision-making.In this role, you will oversee a team of AI and Data Engineers, acting as a technical leader within the business domain. Collaborating closely with the Director of Platform Engineering, you will cultivate technical leadership and foster a highly engaged, high-performing team. You appreciate accountability and possess the ability to merge strategic foresight with pragmatic execution.What You'll DoLead & Mentor: Guide a team of 6-8 engineers, offering coaching on technical excellence, promoting individual career advancement, and fostering a high-performance culture centered on trust and collaboration.Drive Velocity: Inspire your team to consistently meet ambitious objectives. You will establish success metrics, monitor progress transparently, and communicate effectively with stakeholders to ensure alignment and celebrate achievements.Own a Complex Domain: Direct the technical strategy and long-term vision for the Data/AI team. Design a scalable data architecture while ensuring that all designs are architecturally robust, scalable, secure, and adhere to industry best practices.Balance & Strategize: Strategically manage the repayment of technical debt while facilitating new feature development. You will be instrumental in enhancing both developer and product velocity for long-term success.Evolve our Architecture: Lead your team in the design, creation, evolution, and maintenance of scalable and efficient data pipelines, model deployment, and monitoring solutions.
Luxury Presence is revolutionizing the real estate industry by developing an AI-driven growth platform. With the support of esteemed investors like Bessemer Venture Partners, we are a Series C company poised to achieve $100M in annual recurring revenue within the next six months. Our platform is trusted by over 87,000 real estate professionals, including more than 30% of the WSJ Real Trends top 100 agents in the United States, to effectively manage and expand their businesses.About the RoleWe are on the lookout for a Senior Software Engineer to enhance our MLS data platform team. In this role, you will develop resilient data pipelines and backend services that drive:• Top-notch MLS and property data sourced from over 400 feeds• Efficient property discovery and search functionalities on agent websites• Tailored listing recommendations and innovative data-driven features• Conversational and operational AI agents that enhance internal workflows• An evaluation and monitoring framework that continually refines these systemsThis position bridges backend engineering, data infrastructure, and AI-powered solutions.Meet the Data Platform TeamOur mission is to ensure that reliable MLS listing data and user interaction data are always accessible to our products and clients. Our diverse team, comprising data engineers and software engineers, is responsible for the entire listing pipeline, from ingestion and transformation to normalization across 400+ MLS feeds and additional data sources.We also expand the platform to gather user activity data for features like personalized listing recommendations, and we develop AI agents that automate processes such as feed onboarding and issue triage, minimizing manual tasks for our internal teams and clients, thus facilitating faster business impact from data.Key ResponsibilitiesTechnical Leadership & Architecture• Oversee the comprehensive architecture for MLS and property data, including streaming and batch pipelines, microservices, storage solutions, and APIs• Design and enhance event-driven, Kafka-based data flows that support listing ingestion, enrichment, recommendations, and more.
Full-time|Remote|Remote, Canada; Remote, Ireland; Remote, Netherlands; Remote, United Kingdom; Remote, US
GitLab is the leading intelligent orchestration platform for DevSecOps, empowering organizations to enhance developer productivity, streamline operational efficiency, mitigate security and compliance risks, and accelerate digital transformation. With over 50 million registered users, including more than 50% of the Fortune 100 companies, GitLab is trusted for delivering better, more secure software at speed.We believe in applying AI as a fundamental productivity enhancer, and we expect all team members to integrate AI into their workflows to boost efficiency, foster innovation, and create significant impact. At GitLab, your career can soar, your ideas can thrive, and every voice is heard. Our high-performance culture is guided by our values and a commitment to continuous knowledge sharing, allowing our team to achieve their full potential while collaborating with industry leaders to tackle complex challenges. Join us in co-creating the future as we revolutionize software development.Role OverviewAs a Staff Backend Engineer (AI) within the Verify stage at GitLab, you will be instrumental in shaping and scaling the foundational infrastructure for GitLab CI. You will play a vital role in the integration of AI into CI/CD workflows, impacting the performance, reliability, and usability for users managing millions of CI jobs, from small teams to large enterprises.AI is a primary focus this year. In this position, you will not only utilize AI tools but also define how we design, develop, and iterate on AI-assisted and autonomous CI experiences. You will establish benchmarks for excellence across our AI agent portfolio, including success metrics, behavior instrumentation in production, and considerations for the limitations of large language models. Additionally, you will aid in the responsible integration of GitLab's Duo Agent Platform into CI workflows at scale, ensuring a foundation that is fast, reliable, secure, and observable.We have ambitious objectives for Agentic CI in FY27. As a Staff Engineer, you will:...
Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.
Jan 7, 2026
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