Full Stack Engineer (AI Products)

Location: Calgary

Department: Engineering

Location Type: HYBRID

Employment Type: FULL_TIME

Role Overview

Key Responsibilities

• Design and build full stack features across our web frontend (React) and backend (Node/TypeScript, Fastify, Prisma). 
• Integrate LLM and agent frameworks (LangGraph and similar) into product features — tool use, multi-step workflows, streaming responses. 
• Turn rough requirements into working, shipped features, iterating quickly based on feedback. 

• Take features from development through staging to production; keep them reliable and observable. 
• Respond to issues, debug problems (including the non-deterministic quirks of LLM-driven features), and improve the system as you go. 
• Work with the Infrastructure & DevOps Engineer to keep deployments smooth and scalable. 

• Work closely with product and AI/ML teammates on what to build and how it should behave. 
• Add tests, monitoring, and evaluation for the features you own so we can trust them in production. 

Relevant Experience

• Solid full stack engineering fundamentals — you can build and ship a feature end to end. 
• Strong programming skills in a modern language, and experience building web applications (frontend + backend). 
• Comfortable working in TypeScript/Node and React, or confident you can pick them up quickly (this is our stack). 
• Experience designing and consuming APIs in real applications. 
• Genuine curiosity about AI and agents, and eagerness to build with them. 
• Comfortable in a fast-moving startup with ambiguity and light process; a bias for shipping. 

Preferred Qualifications

• Any hands-on experience with LLMs or agent frameworks (LangChain, LangGraph, CrewAI, etc.) — even side projects or prototypes. 
• Familiarity with prompt engineering, evaluation, or monitoring of AI features. 
• Python familiarity (some of our tooling touches it). 
• Experience with cloud platforms (AWS preferred) and Docker. 
• Exposure to agtech, robotics, autonomous systems, or developer platforms. 
• Open-source contributions that show ownership. 

What You Bring

• Bias for shipping — you build working software, not just demos, and see it through to production. 
• Curiosity — excited to learn AI/agent tooling and figure things out without a lot of hand-holding. 
• Ownership — you take responsibility for what you build, from first commit through deployment. 
• Breadth over specialization — you enjoy jumping between frontend, backend, and product problems.