Senior AI Engineer
Core
Design, develop, and improve production-grade AI agent systems for modern research operations, handling survey logic, data cleaning, and client reporting.
Role type
Senior AI Engineer (Agentic Systems)
Builds
Production survey code, QA live deployments, data analysis pipelines, and client-ready reports
Domain
Market Research / Applied AI / Agent Systems
Deliverable
production ML models
Required skills
Agentic systems design, LLM API integration, Python, Context engineering, Evaluation methodology, System debugging
Preferred skills
Go or TypeScript, LLM observability tooling, Semantic parsing, Human-in-the-loop workflows
Technologies
Anthropic, OpenAI, Gemini, Python, Go, TypeScript
Responsibilities
Own the agent harness architecture and failure recovery loops; Define structured rubrics for evaluating AI outputs on ambiguous tasks; Build continuous monitoring and tracing for production agents; Develop evaluation datasets and LLM-as-judge pipelines; Design human-in-the-loop review workflows for high-stakes outputs.
Seniority
Senior, hands-on IC
