Full Stack Engineer, Agentic AI
External
Lazer · CanadaPrepare for this interview
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Responsibilities
- Engage with clients to understand their problems, needs, goals, and technical environments.
- Architect, build, and ship full stack applications that leverage AI and data capabilities.
- Apply best practices in MLOps or LLMOps, including testing, monitoring, and reliability.
- Design and build scalable data pipelines and data lakes as needed.
- Communicate tradeoffs and risks transparently, supporting client decision-making.
- Collaborate with other engineers and cross-functional teams to deliver impactful results.
- Stay current with the latest AI trends, technologies, and tooling to bring innovation to your projects.
Requirements
- 4-6 years of experience as a Full Stack Engineer working with TypeScript, React, Node.js, Python or Go.
- Experience with generative AI in areas like image or video generation.
- Proven experience shipping production software across the stack.
- Strong experience hosting, tuning, and managing LLM services, libraries, or tools.
- Experience working with agentic workflows, including creating and using MCP servers.
- A track record of building AI-powered features such as information extraction, chatbots, document construction, search, data normalization, etc.
- Familiarity with prompt engineering and structured experimentation workflows.
- Experience fine-tuning LLMs using open-source models or closed-source services.
- Confidence in setting up testing infrastructure around agentic applications.
- Comfort working with at least one major cloud provider (GCP, AWS, Azure), especially data tools like BigQuery, SageMaker, etc.
- Previous experience in consulting or contracting roles, with the ability to manage client expectations and timelines.
- The following would be a bonus experience to have, though highlight any additional experience or skills you may have. We like working with people with varied backgrounds and experiences.
- Familiarity with Kubernetes and container orchestration.
- Background using ETL frameworks (e.g., Airflow).
- Skills in mobile development (e.g., React Native, native iOS/Android).
- Strong design sensibility and user experience intuition.
- Solid statistics or data science background for intelligent data analysis.
- Relevant certifications, open-source contributions, or technical publications.
- AI in our hiring process
- We use AI to help us review and shortlist applications based on job-related criteria. A human hiring manager always makes the call on who moves forward. As a company that builds with AI every day, we're all for candidates using it too - just be upfront about how it helped.
Benefits
Additional Information
Lazer is a world-class digital product studio composed of 180+ senior engineers and designers with backgrounds from companies like Apple, Google, Coinbase, and more. With our product experience, we have designed, engineered, and grown products from $0 to $200M in revenue. Clients seek out our help because we have the talent to deeply understand their needs and provide industry, technical, or product insights that are uniquely valuable to their efforts. Our clients range from early-stage startups and venture studios to recognizable retail brands and exciting enterprises. Some of our notable clients include Google, Shopify, Coinbase, Alchemy, Hinge, OVO, Polymarket, and more. We are a remote-first organization headquartered in Toronto, Ontario, with employees worldwide. We believe in providing the best experience possible for all Lazerites by fostering a strong community through regular events, company vacations, competitive compensation, unlimited PTO, and more! Join Lazer and help us solve problems and build the next generation of products! Lazer Core is a specialized team within Lazer focused on building robust, AI-powered full-stack applications. We partner closely with ambitious teams across industries to bring cutting-edge products to life, leveraging the latest in AI, agentic workflows, and scalable infrastructure. Our engineers work across the stack, helping clients solve high-impact problems with tailored, production-ready solutions.
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