Applied AI Engineer - Member of Technical Staff

Join Our Team as a Member of Technical Staff (Applied AI Engineer)Location: TorontoOnsite | Full-timeCompensation: $140K - $260KAt mlabs, we are pioneering an open-source browser infrastructure that fuels the next generation of AI agents and applications. Our high-performance Sessions API empowers developers to create products that engage with the web as effortlessly as humans do.Having achieved an impressive 50x growth in our platform in 2025 through organic word-of-mouth and a robust open-source community (over 6,000 GitHub stars), we are seeking a talented engineer to help us redefine browser automation. Our dedicated, high-caliber team is backed by top-tier investors, and we operate with an intense focus on shaping the future of the internet.The RoleIn this pivotal position, you will bridge the gap between product, research, and community engagement. This role transcends traditional ML or DevRel functions—it's a blend of both. You will collaborate with AI agent developers and our core infrastructure, working closely with the founding team to prioritize and design what we build.Your responsibilities will include conducting experiments to assess the effectiveness of various AI models for browser automation, translating those findings into frameworks, research, and engaging content that resonates with developers. We thrive on hard work and rapid execution, and we expect the same vigor from our team; late nights and weekend work are part of the journey toward creating something extraordinary.Key ResponsibilitiesDevelop a TypeScript browser agent framework that integrates LLMs with our core systems.Conduct experiments to determine the most effective models (such as GPT-4, Claude, Gemini) and prompting strategies for complex web tasks.Create open-source demonstrations and integrations with frameworks like LangChain, CrewAI, and other emerging agent platforms.Author technical blog posts and research publications that position our team as leaders in the browser automation space.Collaborate with our Growth Lead to transform experimental insights into compelling content that boosts developer adoption.RequirementsExperience: A minimum of 4 years in engineering with a proven track record of delivering production AI agents (e.g., web scraping, form filling, research automation).AI Literacy: A profound understanding of current LLMs, frameworks, and techniques, with the ability to assess model trade-offs quickly.Tech Stack: Strong expertise in TypeScript/JavaScript and Python. Familiarity with React, Node.js, and browser automation is a significant advantage.Open Source: You are experienced in open-source development—having contributed to or maintained OSS projects and understanding how to foster community engagement around code.Communication: You possess a passion for teaching and are skilled at writing technical content that inspires and informs others.

"Embrace the power of rapid learning as an engineer in the AI era."What We Seek1. Strong Engineering FundamentalsAt Viggle AI, we believe in the versatility of our engineers, regardless of their specialization—be it frontend, backend, or algorithms. What truly counts is your robust engineering foundation and your capacity to simplify, refactor, and enhance complex systems.As AI transforms the tech landscape at a rapid pace, those with a strong grasp of fundamental engineering concepts can easily adapt and emerge as well-rounded, full-stack contributors. You will take the initiative in building intricate systems and engage closely with product and design teams to create exceptional user experiences.2. Outstanding Learning AptitudeIn an environment defined by swift technological advancements, past knowledge can quickly become obsolete. We prioritize your ability to swiftly learn new open-source tools, adapt to emerging technologies, and thrive in uncertain situations while executing effectively.We invite curious, agile thinkers who are enthusiastic about exploring technology and overcoming challenges to join our dynamic team.About Us:Viggle AI is an innovative startup supported by prominent investors such as a16z and TSFV. We are at the forefront of the Generative AI revolution, focusing on controllable video generation for content creators, providing cutting-edge technology that enables creators to bring their visions to life.Our rapidly expanding app is cherished by a diverse range of creators, from Hollywood professionals to TikTok influencers, and boasts a user base exceeding 30 million, along with hosting the second-largest Discord community globally.Benefits: Thriving startup atmosphere: build diligently, ship quickly, and grow continuously Competitive salary and equity package Comprehensive dental and health insurance Free meals and a vibrant, enjoyable office environment

Infrastructure Technical Staff MemberOn-site | Full-timeCompensation: CA$190K – CA$280KJoin our innovative team at mlabs as we create open-source browser infrastructure that drives the future of AI agents. With over 6,000 stars on GitHub and millions of browser sessions served monthly, our platform has experienced phenomenal growth, expanding 50x in 2025 alone. Our technology empowers developers to create seamless web interactions through our robust API.As one of the pioneering team members, you will collaborate with a high-performance group of four talented individuals, backed by top-tier investors, as we tackle the most challenging issues in distributed systems—from kernel-level debugging to global VM orchestration.The RoleAs an Infrastructure Technical Staff Member, your mission will be to build and enhance the distributed systems that support millions of browser sessions. Given the resource-intensive nature of browsers, your focus will be on optimizing performance, ensuring rapid startup times, and maintaining strong multi-tenant isolation across our infrastructure.Key Responsibilities:Global Orchestration: Design and maintain VM orchestration using technologies such as Nomad, Firecracker, and Kubernetes, with a focus on intelligent scheduling and achieving sub-second cold starts.Systems Engineering: Implement kernel-level observability with eBPF and enhance resource isolation through cgroup v2 and NUMA scheduling.Networking: Develop high-performance networking layers, including anycast routing and cross-region failover.Infrastructure as Code: Manage multi-cloud deployments across AWS, GCP, and Azure while overseeing customer VPCs with Pulumi.Product Ownership: Create developer tools for reliable browser automation and actively contribute to our open-source ecosystem.RequirementsExperience: A minimum of 5 years in operating production-scale distributed systems capable of processing thousands of requests per second.Linux Internals: Extensive knowledge of the Linux kernel, syscall optimization, and eBPF.Security & Isolation: Proven experience with multi-tenancy, resource limits, and security boundaries.Network Fundamentals: Competency in diagnosing complex production issues such as packet loss or routing failures at the protocol level.Execution: A proactive approach to ownership of outcomes from architecture through to deployment.

About Alloy RiverAt Alloy River, we are pioneers in developing agentic applied AI specifically tailored for the finance and accounting sectors. In a world where accounting processes are often disjointed, manual, and reactive, we strive to create intelligent, structured, and decisively operational solutions. Our objective is to revolutionize finance, transforming it from a slow, labor-intensive reporting function into a dynamic, real-time strategic engine that drives profit and ensures control.We have fundamentally re-engineered the general ledger, integrating automation, workflow orchestration, and applied AI into its very core. Rather than having accountants shuffle data between various tools and manage tedious checklists, our advanced system generates outcomes, highlights exceptions, and amplifies leverage over time. This is not mere incremental enhancement; it represents a comprehensive redesign of financial infrastructure for an AI-driven future.With over $30 million raised to date from notable investors including Portage Ventures, Electric Capital, Elad Gil, and distinguished angels such as Tobi Lütke and Balaji Srinivasan, we are expanding our operations with the finest builders, operators, and craftsmen in the industry.Role OverviewIn this pivotal role, you will be the architect behind our foundational systems. The patterns you design will dictate the movement and settlement of financial data across the ledger, enabling others to build upon it rapidly and securely. Your responsibilities will encompass core system architecture, integration infrastructure, and the abstractions that ensure a cohesive and scalable codebase. Your work will be critical to product builders, agents, and future team members. Managing financial data requires meeting rigorous standards that most software does not encounter, and your contributions will set the benchmark.What You'll Work OnLead the development of the fundamental patterns that dictate the movement, matching, and settlement of financial data - the essential layer upon which everything else relies.Create essential primitives that product builders can leverage instead of reinventing: counterparty enrichment, object-arrival matching, and transaction reconciliation.Develop abstractions that empower engineers and agents to contribute effectively while navigating the complexities beneath.Serve as the architectural authority for the team - reviewing methodologies, guiding new projects, and maintaining the coherence of the codebase.What We're Looking ForThis position requires a robust technical foundation and a proven track record of developing systems that serve as the backbone for other engineers. This is not a role for generalists; we seek individuals with substantial experience in building reliable systems.

Join Steel as a Member of the Technical Staff in our Infrastructure team, where you will play a pivotal role in building and maintaining robust systems that support our innovative projects. As part of a dynamic team, you'll leverage your technical expertise to enhance our infrastructure capabilities.

About SteelSteel is pioneering open-source browser infrastructure designed for AI agents and applications. We empower developers to seamlessly deploy AI products that interact with the web via our Sessions API.With over 6,000 stars on GitHub, a growing customer base, and millions of sessions hosted each month, we achieved a remarkable 50x growth in 2025 driven solely by word-of-mouth and our vibrant open-source community. Supported by leading investors, we're assembling a compact, highly skilled team dedicated to redefining the way humans engage with the digital landscape.Discover the challenges we address: https://docs.steel.dev/overview/intro-to-steelThe RoleWe are on the lookout for an Applied AI Engineer who will play a critical role in defining how AI agents interact with the web. You will develop frameworks, create demos, and enhance the developer experience, making Steel an essential tool for AI creators.Your work will bridge product development, research, and community engagement. You will conduct experiments to determine effective strategies for browser automation with AI, translating findings into frameworks and engaging content that developers appreciate. Collaborating closely with our founding team, you will help set the development agenda, publish research establishing Steel's authority in browser agents, and create demos and integrations that attract thousands of developers to our platform.This role transcends traditional ML engineering or Developer Relations; it encompasses elements of both. You should be comfortable deploying production code, running experiments, and producing educational content for developers. Our team thrives on hard work and rapid pace, and we expect the same dedication from you. Late nights and weekend commitments are part of our journey toward excellence.Sample Projects Could IncludeDeveloping a TypeScript browser agent framework that seamlessly integrates large language models (LLMs), Steel's infrastructure, and developer tools.Conducting experiments to answer crucial developer questions: Which models excel in browser automation? What prompting strategies yield the best results? Which architectures are most effective?Creating open-source demos and applications that illustrate the capabilities of AI agents within Steel's browser infrastructure.Building integrations with AI frameworks such as LangChain and CrewAI, ensuring Steel's compatibility within the broader ecosystem.

klick1 seeks an Applied AI Developer based in Toronto. This position centers on building AI solutions that strengthen product features and overall performance. Collaboration is key, as the role involves working closely with teams throughout the company to bring AI-driven improvements into practice. Role overview Design, develop, and refine AI algorithms that support product enhancements Partner with colleagues from various departments to integrate AI into practical, real-world applications Contribute to greater efficiency and stronger product performance by applying AI methods

Role overview This Technical Staff Member position focuses on migrations for Cockroach Labs in Toronto, Canada. The role centers on supporting organizations as they move their data and systems to Cockroach Labs' database products. Collaboration with colleagues from various teams is a key part of planning and carrying out migration strategies that protect data and minimize downtime. What you will do Guide clients through the process of transitioning to Cockroach Labs' database solutions Work closely with teams across the company to design, develop, and implement migration plans Emphasize data integrity and aim to reduce service interruptions throughout migrations

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.

"Harnessing the power of rapid learning is essential for engineers in the AI age." Join Our Team1. Strong Engineering FundamentalsAt Viggle AI, we believe in breaking down the barriers of traditional engineering roles. Whether your expertise lies in frontend, backend, or algorithms, what truly counts is your robust engineering principles and your proficiency in simplifying, refactoring, and optimizing intricate systems.As AI transforms technology, it brings forth innovative tools and methodologies. Engineers with a solid foundation can seamlessly adapt and contribute as versatile, full-stack team members. You will independently develop complex systems while closely collaborating with product and design teams to enhance user experiences.2. Outstanding Learning AptitudeIn a fast-paced AI landscape, prior knowledge can quickly become obsolete. We appreciate your capacity to swiftly learn new, unfamiliar open-source tools, adapt to emerging technologies, and navigate through uncertainty while delivering results.We seek inquisitive and adaptable thinkers who relish the exploration of technology and thrive in uncertain environments. If you are enthusiastic about ongoing learning and personal growth, we encourage you to apply.About Viggle AI:Viggle AI is an innovative startup supported by renowned investors, including a16z and TSFV. At the forefront of the Generative AI revolution, we specialize in controllable video generation, empowering content creators with advanced technology to bring their creative visions to life.Our rapidly expanding application is favored by creators ranging from Hollywood professionals to TikTok influencers, serving over 30 million users and hosting the second-largest Discord community globally.Perks of Joining Us: Dynamic startup atmosphere: Work hard, deliver quickly, and grow daily Competitive salary & equity options Comprehensive dental and health insurance plan Free meals and a vibrant office culture

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.

About the Role Cohere is hiring a Manager of Technical Staff in Toronto. This role leads a team of skilled technical professionals, guiding projects that advance AI technology. The manager sets direction, supports team growth, and ensures projects meet Cohere’s standards. What You Will Do Lead and mentor a group of technical staff members Oversee project delivery, ensuring quality and timely completion Promote collaboration and a supportive team culture Help shape the direction of AI-focused projects at Cohere Location This position is based in Toronto.

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.

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies assess claims. With approximately $20 million USD in funding, a global team of over 100 professionals, and a client base exceeding 90 in North America and Australia, we are experiencing exceptional year-over-year revenue growth.Founded by industry experts who have firsthand knowledge of the claims process, Wisedocs merges extensive domain expertise with advanced AI technology trained on over 100 million documents. Our platform transforms complex medical records into clear, actionable insights—supported by professional human oversight.We invite you to join our mission-driven team dedicated to creating intelligent solutions that simplify complexity, expedite decision-making, and deliver meaningful results when it matters most.What We OfferCurrently, we have a version 1 of our AI insights platform tailored for various medical and adjacent use cases. This platform utilizes our machine learning pipeline, LLM summarization models, and RAG/context engineering to extract essential information from medical claims.Role SummaryWe are in search of an AI Insights Technical Lead who will engage directly with customers to identify capability gaps, architect a more powerful and scalable AI insights engine, and lead a small team of engineers within this product group.Key ResponsibilitiesDeveloping reliable, scalable APIs using Python (Django and Fast API).Collaborating with technical stakeholders and leaders to design and implement systems.Ensuring the reliability and scalability of our AI Insights platform.Building ML/AI related systems utilizing AI engineering tools (RAG, AI workflows, evaluations, etc.).Adapting and maturing responsibilities as projects evolve.Ideal Candidate ProfileProven experience collaborating across multiple engineering teams to successfully deliver projects.Strong proficiency in at least two of the following areas: backend engineering, data engineering, cloud engineering, or frontend engineering.A comprehensive approach to problem-solving, considering aspects such as data, infrastructure, research, monitoring, and inference.A history of producing high-quality, maintainable code.Exceptional problem-solving capabilities in both independent and team settings.A passion for thriving in a dynamic, innovative environment and contributing to a team focused on making a substantial impact in the medical and insurance technology sectors.

About Equitable Bank Equitable Bank has spent over 50 years building modern banking solutions for Canadians. Through our digital platform, EQ Bank, we serve more than 800,000 customers nationwide. Forbes has recognized EQ Bank as one of Canada’s top banks since 2021. Our subsidiary, Concentra Bank, partners with credit unions that support over six million members, managing assets of more than $142 billion. We focus on driving meaningful change in Canadian banking and improving the lives of our customers. Internship Overview The Finance Innovation Studio at Equitable Bank is an experimental workspace dedicated to applying artificial intelligence and analytics to Finance operations. The Applied AI Experimentation Intern will work closely with the Finance team to run structured experiments, exploring how AI can make financial reporting and analysis more efficient and creative, while reducing manual effort. This internship is hands-on and centers on learning, experimentation, and discovery. The role is designed as a studio and sandbox environment, free from standard processes, with a focus on documenting insights and identifying scalable solutions. The intern will collaborate with the CFO, Anilisa Sainani, members of the Finance Leadership Team, and Technology partners. Who We’re Looking For 3rd- or 4th-year student in engineering or a technical discipline Strong coding skills Solid understanding of finance Interest in using AI tools such as Copilot, ChatGPT, Claude, or Gemini to transform financial reporting and analysis Curiosity and adaptability Comfort working in an experimental, open-ended environment Location This internship is based in Toronto.

Location: Toronto, Canada (open to applicants based in the US or Canada)Employment type: Full-time for US applicants; Independent Contractor for Canadian applicants Role overview The Chief of Staff for AI Innovation works directly with the Managing Director of AI, blending strategic planning with practical execution. This role shapes growth by designing and implementing AI-powered processes, building autonomous systems, and guiding the rollout of new solutions across the organization. Responsibilities go beyond the usual Chief of Staff scope. The position involves architecting scalable AI workflows, developing systems to support client transformation, and ensuring the AI solutions practice runs smoothly from concept through delivery. What you will do Collaborate closely with leadership to set and execute AI strategy Design and implement AI-driven processes and autonomous systems Lead organizational rollouts of new AI solutions and practices Support clients in adopting scalable, practical AI systems Oversee execution and ensure alignment across teams working on AI initiatives Who thrives here Strategic thinkers with hands-on experience in artificial intelligence Leaders who enjoy building new solutions and driving organizational change People who value feedback, learning, and high standards Those who want to help clients integrate AI in ways that fit their mission and values

Rivian and Volkswagen Group Technologies brings together two major automotive leaders, working side by side to shape the future of mobility. The partnership focuses on advancing operating systems, zonal controllers, and cloud connectivity, all while addressing the unique challenges of electric vehicles. The goal is to push the boundaries of software-defined vehicles on a global scale. By combining expertise in connectivity, AI, and security, the team aims to create a more connected, intelligent, and sustainable future for drivers everywhere. Role overview The Lead AI Engineer / Technical Lead Manager will drive the technical strategy and execution for LLM and Agentic Systems projects. This work centers on merging cloud-based intelligence with embedded system performance. The role involves leading a skilled team of engineers and overseeing the development, improvement, and deployment of advanced AI models that fuel product innovation. As a 'player-coach', this leader will balance deep architectural work, such as optimizing models for edge hardware, with hands-on team management. The expectation is to deliver scalable, production-ready AI solutions that directly support core product goals.

Role Overview Paytm is seeking a Lead Staff Platform Engineer focused on AI Infrastructure in Toronto, Canada. This position centers on building and scaling the systems behind Paytm's AI inference platform, which supports both internal teams and enterprise clients as they develop new customer-facing AI solutions. What You Will Do Own and manage GPU infrastructure, model hosting, and model serving for the AI inference platform. Enable multi-model routing across different modalities, including voice, vision, and fintech workflows. Oversee deployment of proprietary and third-party models on shared GPU and accelerator clusters. Develop self-service platforms that let teams provision compute, deploy, and customize models using APIs and control planes. Establish the AI control plane for Paytm Intelligence (Pi), with a focus on policy-driven routing, quotas, observability, and cost visibility. Impact Areas Accelerate delivery of AI agents and features across payments, risk management, fraud detection, collections, support, and developer tooling. Improve reliability and efficiency of hardware utilization. Give teams the tools to use AI infrastructure without rebuilding core systems each time. Location This role is based in Toronto, Canada.

Who We Are:At Cohere, our mission is to harness the power of intelligence for the betterment of humanity. We are at the forefront of developing and deploying cutting-edge models for developers and enterprises, enabling them to create transformative AI experiences like content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We firmly believe that our contributions are vital for the widespread integration of AI technologies.Our passion for innovation drives us. Each team member is accountable for enhancing our models' capabilities and delivering exceptional value to our customers. We thrive in a fast-paced environment, committed to excellence and customer satisfaction.Cohere comprises a diverse team of researchers, engineers, and designers, each a leader in their respective fields. We believe that diverse perspectives are essential to building outstanding products.Join our journey and help shape the future of AI!Why This Role Matters:As a Machine Learning Engineer focused on synthetic data, you will be instrumental in developing the synthetic data pipeline that supports Cohere's advanced language models. Your role will involve overseeing the entire lifecycle of synthetic data, which includes maintaining and optimizing the synthetic data pipeline, performing data analysis and generation, and conducting data ablation and model evaluations to assess data quality. You will work with diverse datasets, transforming them through generative models to enhance token efficiency and model performance. By merging research with engineering, you will connect raw data to state-of-the-art AI models, directly impacting critical training metrics such as throughput and accelerator utilization.Your contributions will be pivotal to our mission of providing efficient and reliable language understanding and generation capabilities, fostering innovation in natural language processing. If you have a passion for transforming data into the backbone of AI systems, this role presents a unique opportunity to make a significant impact.Please note: We have offices in London, Paris, Toronto, San Francisco, and New York, and we are proud to be a remote-friendly company! There are no location restrictions for this role within the EST and EU time zones.Your Responsibilities:Design and implement scalable inference pipelines that operate efficiently on large GPU clusters.Conduct data ablation studies to evaluate data quality and experiment with diverse data mixtures to enhance model performance.Collaborate with cross-functional teams to integrate synthetic data solutions into existing AI frameworks.Analyze and optimize data generation processes to support various AI applications.

ABOUT APPLY DIGITALApply Digital is a leading partner in experience transformation, dedicated to driving AI-infused change and delivering measurable impact across intricate, multi-brand ecosystems. Our comprehensive expertise spans the entire customer experience lifecycle—from strategy and design to engineering and beyond—enabling our clients to rejuvenate their organizations and maximize value for both their business and customers.With a diverse team of over 750 professionals, we have successfully transformed global enterprises including Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group.Founded in 2016 in Vancouver, Canada, Apply Digital has expanded its presence to ten cities across North America, South America, the UK, Europe, and India over the past nine years.We embrace the “One Team” philosophy, operating within a ‘pod’ structure that unites senior leadership, subject matter experts, and cross-functional skills, all working towards shared goals within a cohesive tech and delivery framework. This model is supported by efficient scrum and sprint cadences, allowing teams to release regularly and hold retrospectives to ensure progress towards desired outcomes.At Apply Digital, we strive to create a safe, empowering, respectful, and enjoyable community for everyone. Our SHAPE values (smart, humble, active, positive, and excellent) guide us in fostering an environment where our team can connect, grow, and support one another in making a meaningful impact.To discover how we can help unlock your potential, visit our Careers page.LOCATION: This position is hybrid/remote friendly. The ideal candidate should be located in Canada, working hours that align with ET (Eastern Timezone) or PT (Pacific Timezone).THE ROLE:As a Principal Agentic Engineer (Back-end), you will serve as a senior technical leader within our engineering team, tasked with designing, building, and scaling robust back-end systems...