What you'll do

• Own the design and delivery of production AI features, end to end, across Angular and NestJS / TypeScript / Python — TypeScript preferred.
• Architect RAG and agentic systems. Build the evaluation frameworks that prove they work, and tune them for cost, latency, and accuracy.
• Run services on AWS (Lambda, API Gateway) with Postgres, and access models via AWS Bedrock. Integrate tools and data via MCP, and own reliability and observability.
• Set engineering standards, review hard, and mentor junior engineers.
• Make sharp build-vs-buy calls and back them with evidence.
• Handle sensitive financial data responsibly — our product serves regulated lenders.

What you bring

• 5 to 8 years building production software, with at least 3 years in AI / ML.
• Hands-on experience with LangChain, LangGraph or similar frameworks.
• Hands-on production experience with MCP, Python, vector databases, or model-governance practices.
• Strong SQL and Postgres — you design schemas and queries that hold up under load.
• A track record shipping LLM-powered systems: RAG, prompting, evaluation, and agentic / tool-use patterns.
• Solid knowledge of AI Gateway / ACP / MCP / A2A and orchestration tools.
• Solid AWS, and a real grasp of how to keep production systems fast and reliable.
• The ability to design a framework from scratch following software design principles, and the judgment to know which design pattern applies.
• A habit of guiding junior AI engineers to the outcome, and grooming them.
• A working sense of the trade-off between cost, performance and quality.
• Judgment — you know which problems deserve a model, which deserve code, and which deserve neither.

Nice to have

• Deep TypeScript, with strong Angular and NestJS.
• Fintech or financial-services experience.
• Familiarity with data-privacy frameworks for financial data such as PIPEDA — our customers are Canadian lenders.