Full Stack Engineer, Agentic AI
Full Stack Engineer on Lazer Core, a consulting team building AI-powered full-stack apps for clients: engaging clients, architecting and shipping TypeScript/React/Node (or Python/Go) applications with LLMs, agentic workflows/MCP servers, and cloud data pipelines (GCP/AWS/Azure).
- Compensation
- Not disclosed
- Location
- Canada
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 4–6 years of experience as a Full Stack Engineer 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 with agentic workflows, including creating and using MCP servers
- Track record building AI-powered features (information extraction, chatbots, document construction, search, data normalization)
- Familiarity with prompt engineering and structured experimentation workflows
- Experience fine-tuning LLMs using open-source models or closed-source services
- Confidence setting up testing infrastructure around agentic applications
- Comfort with at least one major cloud provider (GCP, AWS, Azure), especially data tools like BigQuery, SageMaker
- Previous consulting or contracting experience, managing client expectations and timelines
Nice to have
- Familiarity with Kubernetes and container orchestration
- Background using ETL frameworks (e.g., Airflow)
- Mobile development skills (React Native, native iOS/Android)
- Strong design sensibility and UX intuition
- Solid statistics or data science background
- Relevant certifications, open-source contributions, or technical publications
Full description
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.
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.