Senior Machine Learning Engineer

Join our Technology team as a Senior Machine Learning Engineer. In this role, you will design and build the core systems behind our LLM applications, focusing on real problems in production. You will report to the Director of Data Science & Insights and be responsible for creating composable tools and integrations, building evaluators and dashboards, and hardening the platform for production scale. You will also set the technical bar through architecture decisions, design reviews, and mentoring.

• Design and build the orchestration, prompting, and workflow layers behind production AI features.
• Create composable tools and integrations, including retrieval and MCP servers and clients.
• Build evaluators, dashboards, and alerts that track accuracy, latency, cost, and hallucination.

• At least 2+ years’ experience in software/ML engineering - which includes at least 1 years’ experience building LLM systems in production
• Expert Python, hands on with LLM APIs and cloud platforms (AWS, Snowflake, Vertex)
• Fluency with agentic coding tools (e.g. Claude Code) and their architecture patterns (a strong plus)
• Ability to explain complex AI concepts and tradeoffs clearly to nontechnical stakeholders
• Experience building agent harnesses: memory compression, skill disclosure, and tool design
• A proven track record in AI evaluation, observability, and retrieval over enterprise data
• Deep experience orchestrating multistep LLM workflows as execution graphs (e.g. LangChain/LangGraph)
• Strong prompt engineering: tuning, versioning, and evaluation of prompts and model configs