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Experience Level
Senior
Qualifications
To excel in this role, you should:Have extensive experience in software development with a strong focus on AI technologies. Possess strong proficiency in Node.js and familiarity with AI frameworks. Demonstrate expertise in developing innovative AI products for enterprise clients. Be adept at strategizing the integration of features and APIs within large-scale enterprise environments. Show a commitment to understanding user needs with meticulous attention to detail. Have a track record of exceeding enterprise-grade compliance standards.
About the job
About Future Secure AI
Future Secure AI develops artificial intelligence solutions for real-world business challenges. The company’s technology supports teams across industries, emphasizing bold thinking, rigor, and curiosity. BRAVER values shape both the work and team culture, encouraging open communication and making space for every voice. Leadership maintains an open-door policy and supports individual growth as the company advances AI together.
Role Overview: Senior AI Engineer – Software Development
Senior AI Engineers (Software) at Future Secure AI lead customer-facing projects and collaborate with both client and partner technical teams. The role also works closely with internal groups to refine and improve technology solutions. Responsibilities span hands-on coding and aligning technical work with broader business and product strategies. Strong organizational skills and a drive to advance AI technology are essential.
Locations
Austin, TX
New York, NY
Toronto, CAN
About Future Secure AI
Future Secure AI is at the forefront of AI innovation, dedicated to solving complex challenges for enterprises worldwide. Our culture supports and nurtures creativity and collaboration, making it an ideal environment for passionate professionals to thrive.
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Are you passionate about uniting technology, strategy, and people to create transformative software solutions?If so, Jobber is the ideal place for you! We are on the lookout for a Director of Software Engineering to lead our AI Workflow & Ecosystem teams. If you have a strong commitment to using technology to make a meaningful impact within an organization, we would love to hear from you!At Jobber, our mission is to empower small businesses to thrive. We work alongside local home service providers, such as plumbers, painters, and landscapers, to revolutionize service delivery through our advanced technology solutions. With Jobber, these businesses can easily quote, schedule, invoice, and accept payments, all while delivering a seamless and professional customer experience. The landscape of small business operations has evolved; service delivery and consumer expectations are changing rapidly, and we provide the tools to help our clients manage their businesses with flexibility and control.Our culture, which prioritizes transparency, inclusivity, collaboration, and innovation, has earned us accolades including Great Place to Work and recognition as one of Canada’s Most Admired Corporate Cultures. Jobber has also been featured in the Globe and Mail’s list of Canada’s Top Growing Companies, as well as Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. Guided by an Executive team with over thirty years of industry experience, we have made significant strides since our inception in 2011, and we are just beginning to unlock our potential for our customers.We are committed to the professional growth of our employees, offering a wealth of onboarding resources, tutorials, hackathons, and mentorship opportunities. Our team comprises individuals with varying levels of experience, fostering a rich environment for mentorship and collaboration. At Jobber, our leaders prioritize empathy and support, helping employees maintain a healthy work-life balance. Bring your passion and dedication to this role and realize your goals with us.The Team:At Jobber, we do more than just build products; we solve real challenges that enable small businesses to succeed. Our company values—humility, supportiveness, and genuine care—are not just words; they are deeply embedded in our culture. We thrive in a collaborative environment where teams have the autonomy to make decisions and shape the company’s future. We release products quickly and iteratively while dedicating time to addressing technical debt, ensuring we receive immediate feedback from our customers to enhance their experiences.
Join Sentry as a Staff Software Engineer in Issue WorkflowAt Sentry, we believe that bad software should be a thing of the past. Our mission is to empower developers to create better software at a faster pace, allowing everyone to truly enjoy technology once again.With over $217 million in funding and a community of more than 100,000 organizations, including notable names like Disney, Microsoft, and Atlassian, we are revolutionizing performance and error monitoring tools to help developers spend less time fixing bugs and more time innovating.We promote a hybrid work model across our global offices, designating Mondays, Tuesdays, and Thursdays as in-office days to foster collaboration. If you are passionate about creating tools that enhance the digital experience, we invite you to join us in building the next generation of software monitoring solutions.The RoleAs a Staff Software Engineer on our Issue Workflow team, you will be at the forefront of our primary product surface. Our platform processes billions of events daily, transforming them into actionable insights for millions of developers to expedite bug resolution.You will architect the systems that drive this experience, bridging high-scale distributed systems with product engineering. Your responsibilities will include building real-time data pipelines, developing search backends, and creating analytical systems to filter valuable insights from vast amounts of data. Every architectural decision you make will directly impact millions of debugging sessions, defining the future of Sentry’s most trafficked platform.Key ResponsibilitiesLead Technical Strategy: Collaborate with engineering leadership, product teams, and design to define the long-term technical vision for the Issue Workflow platform. Make informed decisions regarding architectural direction, technology selection, and technical debt management to lay a robust foundation for Sentry’s growth.Address Performance Challenges: Tackle complex performance and scalability issues to enhance system efficiency.Enhance User Experience: Develop features that not only function well but also provide a delightful user experience. You understand the importance of speed in developer interactions and meticulously optimize interfaces and error handling processes.
Discover OktaOkta is recognized as the world's leading identity management company, dedicated to empowering individuals to utilize any technology securely, across any device or application. With our versatile Okta and Auth0 platforms, we ensure safe access, authentication, and automation, placing identity at the forefront of business security and development.We embrace diverse perspectives and experiences at Okta. We're not seeking someone who meets every single requirement; instead, we are looking for lifelong learners who can contribute to our culture with their unique backgrounds.Join us in creating a world where Identity is in your hands.Okta Workflows offers a secure, no-code automation platform that enables organizations to develop identity-centric workflows across cloud applications without necessitating any coding. Our user-friendly drag-and-drop interface allows businesses to streamline complex processes at scale, enhancing productivity, ensuring security, and simplifying IT operations.Renowned clients such as Netflix, MGM, and NTT trust Workflows to automate critical identity scenarios swiftly and confidently.As we continue to expand, we are committed to enhancing extensibility, developer experience, and performance. Join us in shaping the future of cloud automation and low-code development.Position OverviewWe are looking for a Staff Full-Stack Engineer to become a key member of the Integration Builder team within Okta Workflows. This team is responsible for the foundational no-code interface that facilitates both internal teams and third-party developers (ISVs) in creating robust integrations and automation solutions effortlessly.As a Staff Engineer, you will spearhead initiatives that encompass both front-end and back-end services, delivering efficient, secure, and scalable functionalities. You will play a vital role in defining architecture, guiding implementation, and collaborating closely with design, project management, and platform teams. Additionally, you will work directly with our technical architects to influence our development strategies and practices. This is a pivotal role within a rapidly growing and strategically significant product area with substantial executive visibility.Key Responsibilities:Design, develop, and sustain comprehensive features utilizing modern JavaScript and cloud-native technologies (React, Node.js, TypeScript, PostgreSQL).Lead technical design for crucial initiatives, ensuring quality, scalability, and maintainability.Create reusable and high-performing UI components for an exceptional no-code builder experience.Oversee services throughout their entire lifecycle — from implementation to maintenance.
About Us At Extreme Networks, we are dedicated to crafting seamless networking solutions that enable individuals and organizations to thrive in an increasingly connected world. We are on the lookout for a Director of AI Engineering to spearhead the design, development, and implementation of our cutting-edge AI-native systems.This pivotal role demands a dynamic leader who merges technical expertise with visionary thinking. You will set the strategic direction for AI initiatives, ensuring that innovative concepts transition from research to scalable, production-ready solutions. Your leadership will be crucial in launching enterprise-grade AI applications that revolutionize network design, optimization, security, and support.
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.
Klue develops competitive intelligence solutions for businesses, with a growing engineering team in Toronto. The Senior Software Engineer, AI, will help shape the next generation of LLM-powered agents and advanced search systems. Role overview This position centers on designing and optimizing backend systems for agentic workflows. The work involves retrieval-augmented generation (RAG), dense retrieval, query understanding, and agentic reasoning. The goal is to deliver fast, accurate, and reliable search experiences for Klue's clients. What you will do Develop and deploy backend systems that support agentic workflows. Build retrieval pipelines, orchestration layers, and multi-step agent architectures to transform large volumes of competitive data, news, press releases, web updates, Slack, email, reviews, and CRM information, into actionable intelligence. Lead evaluation of agentic systems. Create and maintain automated, offline, and human-in-the-loop evaluation frameworks. Define success metrics and build infrastructure for continuous measurement of relevance, quality, latency, and task success. Design and refine retrieval and ranking systems. Work across hybrid retrieval, re-ranking, query rewriting, and post-retrieval synthesis. Balance trade-offs between BM25, dense retrieval, and hybrid methods to ensure agents provide timely and relevant information. Enhance LLM-powered workflows. Improve prompt design, retrieval strategies, caching, and latency to make agent responses faster, more accurate, and more reliable in production. Prioritize customer-centric development. Connect technical decisions to customer outcomes. Use insights from customer interactions to guide feature prioritization and improvements, adopting an iterative approach and measuring impact. Location This position is based in Toronto, Ontario. Learn more about Klue at klue.com.
Klue develops competitive intelligence tools that help organizations turn information into actionable insights. The team is expanding its Engineering group in Toronto, with a focus on practical AI applications that support insight generation. Role overview The AI Software Engineer will work on developing and refining large language model (LLM)-powered agents. This position centers on building systems for reasoning, planning, and workflow automation, as Klue advances its approach to generating insights. The work involves hands-on development with modern AI technologies, especially for those with strong backend and machine learning experience. Key responsibilities Design retrieval-augmented generation (RAG) systems to improve query understanding, document retrieval, and response synthesis using agentic workflows. Build and optimize retrieval pipelines, including BM25, dense retrieval, hybrid retrieval, and re-ranking methods. Create evaluation frameworks for retrieval and generation, focusing on offline metrics such as recall, MRR, nDCG, and human-in-the-loop assessments. Experiment with query rewriting, expansion, and classification to enhance retrieval relevance. Collaborate with Product teams to launch machine learning-powered search agents in production settings. Monitor, debug, and optimize latency, accuracy, and scalability for retrieval and generation components. Contribute to the design and implementation of data pipelines for training retrieval and ranking models, including dataset curation, augmentation, and labeling workflows. Stay current with new developments in LLMs, retrieval strategies, and agent architectures, and assess their relevance for Klue’s systems. Requirements Experience in software engineering. Familiarity with information retrieval systems, search relevance, and ranking models. Strong background in machine learning and backend technologies. Ability to work well within a team.
About PalonaAt Palona, we are innovating operational systems for the restaurant industry with a mission to empower restaurateurs to manage their establishments with unparalleled efficiency. We specialize in creating real-world AI systems that function continuously in a production environment. Our focus is on developing AI agents capable of perceiving, reasoning, remembering, and taking action within complex physical settings.Restaurants present intricate physical environments that our AI must navigate. We are dedicated to research that stands up to real-world challenges, assisting us in understanding and acting effectively.Join Us in TorontoToronto boasts one of the most dynamic culinary scenes in North America, home to nearly 10,000 restaurants. Our proximity to clients enhances our ability to deliver tailored solutions. The city continually attracts top AI talent, excelling in both foundational AI research and practical applications. Palona is eager to broaden our engineering and research footprint in Toronto, and we invite you to be part of our Toronto office.Who is a Good Fit for Palona?You consider yourself an advanced AI software engineer, always exploring the latest AI tools and technologies.You believe your productivity exceeds that of your peers by at least tenfold.You are passionate about delivering exceptional products to your customers.You want to create innovative and exciting products.You value collaboration and care for your teammates.Who May Not Be a Good Fit for Us?You have yet to experience a transformative moment in AI.You have not been concerned about the costs associated with AI model tokens.You do not prioritize good software design principles.You are not focused on customer satisfaction.Job DescriptionWe are looking for an AI Software Engineer with a strong track record in developing comprehensive end-to-end AI products from the ground up in startup settings. You will design, develop, and deploy autonomous AI systems from inception to production. We seek quick learners who thrive on challenges and have experience delivering AI products independently in fast-paced, resource-limited environments. This role necessitates in-person commitment in Downtown Toronto.Key ResponsibilitiesDesign and deploy complete end-to-end AI products and intelligent agents from concept to production.Create autonomous systems and multi-agent architectures to address complex challenges.Launch AI agents into production with a strong emphasis on reliability and performance, utilizing cutting-edge AI models (LLMs, VLMs).Rapidly prototype and refine AI solutions in an agile startup atmosphere.Take full ownership of projects, delivering the most impactful results for our customers.
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.
Join our dynamic team at Harvey as a Software Engineer, where you will play a pivotal role in shaping our cutting-edge AI platform. This is an exciting opportunity to work with innovative technologies and contribute to projects that push the boundaries of artificial intelligence.As a Software Engineer, you will collaborate with cross-functional teams to design, develop, and implement software solutions that enhance our AI capabilities. Your work will directly impact the efficiency and effectiveness of our platform, helping to drive our mission forward.
At Tenstorrent, we are at the forefront of pioneering AI technology, setting new standards for performance, usability, and cost-effectiveness. As AI reshapes the technological landscape, our solutions are evolving to integrate advancements in software models, compilers, platforms, networking, and semiconductors. Our talented team has designed a high-performance RISC-V CPU from the ground up, driven by a passion for AI and a commitment to building the leading AI platform. We prioritize collaboration, curiosity, and tackling challenging problems, and we are expanding our team to include contributors of all experience levels.Become a vital part of the team transforming AI computing at Tenstorrent. You will engage with TT-Forge, our MLIR-based compiler that allows developers to optimize AI workloads across all configurations of Tenstorrent hardware using an open-source, efficient, and versatile compiler. You will be at the cutting edge of the AI hardware revolution, contributing to compiler technologies that expand the horizons of what’s achievable.This position offers a hybrid work environment based in Toronto, ON.We encourage applications from candidates with varying levels of experience. During the interview process, we will assess candidates to determine the appropriate level, and offers will align accordingly.
Full-time|On-site|Austin, TX; New York, NY; Toronto, CAN
About Future Secure AI Future Secure AI develops artificial intelligence solutions for real-world business challenges. The company’s technology supports teams across industries, emphasizing bold thinking, rigor, and curiosity. BRAVER values shape both the work and team culture, encouraging open communication and making space for every voice. Leadership maintains an open-door policy and supports individual growth as the company advances AI together. Role Overview: Senior AI Engineer – Software Development Senior AI Engineers (Software) at Future Secure AI lead customer-facing projects and collaborate with both client and partner technical teams. The role also works closely with internal groups to refine and improve technology solutions. Responsibilities span hands-on coding and aligning technical work with broader business and product strategies. Strong organizational skills and a drive to advance AI technology are essential. Locations Austin, TX New York, NY Toronto, CAN
Rivian and Volkswagen Group Technologies have joined forces to advance the future of electric vehicles. This partnership brings together deep expertise in automotive engineering, software, and cloud connectivity. The focus is on building technology that sets new standards for software-defined vehicles worldwide, with an emphasis on AI, connectivity, and security. Role overview The Senior Software Engineer - AI Platform will lead architectural design and strategic development for the GenAI platform. This position centers on integrating large language models (LLMs) into both internal and customer-facing applications at scale. The aim is to drive cognitive automation, streamline workflows, and support better decision-making across the organization. What you will do Design and develop AI-driven applications using large language models. Integrate LLMs into production systems for both internal teams and external customers. Establish best practices for building distributed systems that are resilient, scalable, and observable. Deliver production-grade tools that are reliable and maintainable. Location This role is based in Toronto, Ontario.
Transforming Learning through Innovation.At Docebo, we harness the power of artificial intelligence to revolutionize workplace learning. Our innovative AI-driven learning platform empowers organizations to create, deliver, and manage training seamlessly in one place. Our mission transcends mere training; we aim to enhance team productivity, streamline workflows, and prioritize meaningful work. Our intelligent tools personalize the learning experience, eliminate mundane tasks, and elevate training from a mere obligation to an empowering tool. The outcome? Exceptional learning experiences and significant business results.Join a team that dares to challenge conventional wisdom and is committed to reshaping the future of learning. If you are passionate about leveraging AI to improve the work lives of individuals, you will thrive here. Our core values—trust by default, positive intent, and embracing diverse perspectives—define our culture and daily operations, known as the Docebo Heart.Are you ready to embark on this journey? Become part of our global family of over 900 Docebians and help us redefine learning because the quest for knowledge never ceases.Opportunity Overview: The Journey AheadAs the Technical Product Manager for Platform & Integrations, you will architect Docebo’s extensibility, transforming our ecosystem into an innovative space for developers. Your role is crucial in bridging sophisticated engineering infrastructure with tangible business outcomes, ensuring our REST APIs, webhooks, and Connect tools are industry-leading. By exploring emerging standards and establishing clear interoperability patterns, you will enable global enterprises to create impactful integrations that will shape the future of educational technology. Daily ResponsibilitiesAPI and Platform Strategy: Lead the external API roadmap for Docebo, focusing on schema design principles, versioning policies, and advocating for patterns that promote long-term scalability.Connect and Integration Tooling: Spearhead the vision for Docebo Connect, managing the low-code workflow builder and blueprint library while evaluating high-impact partner contribution programs.Developer Experience: Prioritize the entire developer journey, tracking developer experience metrics and conducting in-depth research to remove obstacles before they lead to attrition.
Join Palona as an AI Software Engineer and unleash your potential in a dynamic startup environment. We are looking for a talented individual with a strong background in developing comprehensive, end-to-end AI products from the ground up. In this role, you will have the opportunity to design, develop, and deploy autonomous AI systems, taking them from initial concept through to production. Ideal candidates are quick learners who thrive on challenges and have successfully delivered AI solutions independently in fast-paced, resource-constrained settings.Key Responsibilities Develop and ship sophisticated end-to-end AI products and intelligent agents from inception to deployment. Design autonomous systems and multi-agent frameworks that address intricate challenges. Focus on the reliability and performance of deployed AI agents. Rapidly prototype and refine AI solutions in an agile startup environment. Assume full ownership of projects and drive them to successful completion with minimal oversight. Integrate cutting-edge AI models (such as LLMs and computer vision technologies) into production-grade applications.
Job Title: Full-Stack Software Engineer (Multiple Positions Available)Salary: $100,000 - $220,000 + equity options.Location: Remote with occasional in-person work at our co-working space in downtown Toronto.About UsFiscal.ai, formerly known as FinChat, is a pioneering research and data platform specifically designed for capital markets. By integrating a robust research Terminal with modern APIs, we are redefining the financial data landscape. With $13 million in venture capital backing and a strong presence in Toronto, we serve thousands of customers and millions of end-users through our API offerings, positioning ourselves as the premier financial data company in the AI era.Role Overview:As a member of our dynamic engineering team, you will play a vital role in developing innovative solutions at the intersection of AI and finance.Key Responsibilities:Design and develop the Fiscal.ai Terminal product.Construct and enhance Fiscal.ai's financial data infrastructure and API services.These roles demand a comprehensive understanding of full-stack development, LLMs, and finance. If you believe you're a perfect fit, we look forward to hearing from you!
About Us: Axiomatic AI is pioneering a new generation of AI systems that employ the scientific method's rigor. By integrating deep learning with formal logic and physics-based modeling, we develop AI systems that are both verifiable and interpretable. Our solutions work in tandem with human researchers, enhancing their capabilities in critical scientific and engineering workflows. Our Mission, 30×30, is to achieve a 30-fold improvement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by the year 2030. We are on a mission to transform hardware design and simulation within these sectors and are assembling a passionate team of professionals dedicated to translating groundbreaking research into commercial products. Position Overview We are in search of a Measurement Software Engineer to design and implement AX-Measure, the core of our autonomous laboratory. Your role will involve developing robust software layers that convert high-level AI decisions into precise, low-level commands for hardware operations. Your programming will govern millions of dollars worth of equipment, manage terabytes of measurement data, and ensure our 'self-driving' lab operates seamlessly. Responsibilities Create unified APIs enabling our AI agents to interact with various instruments, including oscilloscopes, network analyzers, SMUs, signal generators, and lasers. Develop high-concurrency execution engines for coordinating parallel measurements across multiple wafer chucks or cryostats. Design data pipelines and storage solutions to efficiently ingest high-frequency data streams, making them readily accessible for AI model queries. Implement 'guardrail' logic to prevent AI from initiating unsafe operations and to verify AI outputs. Integrate measurement outcomes with data analysis and modeling frameworks to enable closed-loop semiconductor development. Requirements B.S. or M.S. in Electrical or Computer Engineering, or a related discipline. 2+ years of extensive experience in production-grade Python, including proficiency in packaging (Poetry/UV), type hinting, decorators, and context managers. 2+ years of experience in automating hardware through VISA, SCPI, TCP/IP, or gRPC. 2+ years of experience in designing SDKs or APIs. 2+ years of experience in developing structured scientific data formats (HDF5) and time-series databases. Preferred Qualifications Familiarity with Rust or C++ for performance-critical applications.
Role overview Lyft is seeking a Senior Software Engineer in Toronto, Canada to focus on AI-driven developer productivity. The position centers on building and refining tools that help engineers work more efficiently. The team explores new AI approaches to reduce friction and simplify everyday workflows for developers. What you will do Work closely with engineers, product managers, and cross-functional teams to identify challenges in the development process Design, build, and maintain software that applies AI to improve developer effectiveness Implement new features and enhancements that streamline and accelerate development Share ideas and technical insight to influence how Lyft’s engineering teams operate Impact This role has a direct effect on Lyft’s internal tools and engineering practices. The work supports teams across the company, making it easier for them to deliver high-quality software.
(English below)About Fluent Software GroupFluent Software Group is a proud member of the Valsoft Corporation family, a global leader in acquiring and nurturing vertical market software businesses. We focus on specialized sectors where deep expertise makes a significant impact.At Fluent, we partner with talented individuals to actively grow what has been built. We bring in experienced operators, proven approaches, and the necessary resources to accelerate growth, ensuring the business doesn’t just continue but truly soars.We are an innovative investment group leveraging AI and an agentic mindset to unlock new levels of growth across our portfolio. By integrating intelligent automation and cutting-edge technology into our operations and scaling our businesses, we help our partners advance faster, adapt smarter, and build for the future.The Role: Director of Engineering Hybrid Mode — Toronto, ONWe are seeking a visionary Director of Engineering to lead the next evolution of our technical ecosystem. This is not a purely managerial role; we are looking for someone who codes, experiments, and is genuinely excited about what AI and automation can bring to software products. You will be responsible for the architecture and scaling of a high-performance cloud environment incorporating AI. This role is designed for a technical leader who thrives on building modern, scalable systems while maintaining the high standards of a well-established company.Your Leadership ResponsibilitiesAI and Product InnovationDrive the implementation of AI-powered workflows and features based on large language models (LLM) to enhance product capabilities and developer velocity.Actively use and promote the adoption of AI coding tools (Claude, Cursor, ChatGPT, Copilot, or equivalent) within the team.Engineering ExcellenceEstablish and maintain best engineering practices: code reviews, CI/CD, testing, and observability.Design and scale cloud-native applications with expert mastery of modern front-end architectures based on components and server-side rendering.Deepen expertise in relational database architectures for high-concurrency environments.Foster a culture of continuous improvement and innovation within the engineering team.
Role OverviewAt PolicyMe, we are dedicated to revolutionizing the insurance industry by making it more straightforward, accessible, and focused on the customer. Despite being a trillion-dollar market, the insurance sector has remained relatively untouched by digital transformation, and we aim to change that narrative. As a remote-first startup based in Toronto, we are on a mission to shape the future of insurance in Canada and beyond.We are in the process of developing an innovative product line designed to enhance the insurance broker experience through the power of AI and machine learning. As a Senior Software Engineer with a focus on AI-driven full-stack development, you will be integral to a pioneering team that designs and implements intelligent systems. Your work will automate manual processes and provide valuable data-driven insights.In this role, you will engage with both front-end and back-end development, contribute to AI/ML initiatives, and participate in architecture discussions, release planning, and broader engineering initiatives. Our technology stack includes Python, React, Redux, PostgreSQL, n8n, LangChain/LangGraph, and AWS, and we are always enthusiastic about integrating new tools and technologies to enhance our results.
Dec 30, 2025
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