About the company
Lazer is a world-class digital product studio composed of 80+ 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 commerce brands and exciting enterprises. Some of our notable clients include Google, Shopify, Coinbase, Alchemy, Hinge, OVO, DIMO, 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!
Job Summary
Who You Are:
📍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.
What You'll Do:
đź“ŤEngage with clients to understand their problems, needs, goals, and technical environments. đź“ŤArchitect, build, and ship full stack applications that leverage AI and data capabilities. đź“ŤApply best practices in MLOps or LLMOps, including testing and reliability. đź“ŤDesign and build scalable data pipelines and data lakes as needed. đź“ŤCommunicate tradeoffs and risks transparently, supporting client decision-making.
The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.
