Senior/AI Engineer

About the rolePatsnap's Materials team builds intelligent systems that help materials scientists and engineers search, extract, and reason over materials science and patent data. You will own the agentic layer of our products end-to-end from product development to implementing the observability tooling and feedback loops to improve them continuously in production.What you'll be doingDesign, build, and productionize agentic systems that beat general-purpose AI agents in our domain.Develop MCP servers (tool design, description and schema) that improve the performance of other agents on tasks in our domain.Build evaluation frameworks with domain experts to measure answer quality, retrieval performance and scientific accuracy.Own production reliability & observability of agents you develop from instrumentation to model/provider evals.RequirementsBachelor's degree in engineering, computer science or any field where analytical and critical thinking was demonstrated.5+ years of software or ML engineering, including 1+ years building and maintaining production LLM-based systems.Designed evaluations for LLM or agent systems - eval sets, quality metrics, human-expert and/or LLM-judge pipelines.You have instrumented, monitored, and debugged live AI services (e.g., OpenTelemetry, Arize Phoenix, Langfuse, Datadog, or similar).Strong software engineering and system design fundamentals.Nice to haveAPI/SDK product or MCP (Model Context Protocol) server design experience.Materials science, chemistry, or patent/IP domain exposure.