PatSnap

PatSnap - Senior AI Engineer — LLM Agents Senior AI Engineer — LLM Agents Singapore SG – Material / Full Time / On-site apply for this job About the role Patsnap's Materials team builds AI systems that help R&D 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: LLM-powered agents, tools (MCPs), and the evaluation frameworks that prove they beat general-purpose AI for our customers. You will be the AI engineer for this team — sole owner of the agentic stack, working directly with product managers, materials domain experts, and our platform team. What you will do - Design, build, and productionize agentic systems (multi-step reasoning, tool orchestration, guardrails) for materials science search, Q&A and information extraction. - Develop, integrate and maintain memory systems, MCP servers and agent skills in a multi-agent environment. - Build evaluation frameworks with domain experts to measure answer quality, extraction accuracy, and retrieval performance. - Own production reliability & observability of agents you develop. - Advise adjacent teams on agentic and search system design; flag technical risk and feasibility during roadmap planning. Requirements - Degree in engineering, computer science, or a quantitative/physical science — or equivalent practical experience. - 5+ years of software/ML engineering, including 2+ years building LLM-based systems that run in production. - You have designed evaluations for LLM/agent systems — eval sets, quality metrics, human-expert or LLM-judge pipelines — and can walk us through one (e.g., promptfoo, Braintrust, LangSmith, DeepEval, or your own harness). - You have instrumented, monitored, and debugged live AI services (e.g., OpenTelemetry, Arize Phoenix, Langfuse, Datadog, or similar). - Strong Python; able to independently build and deploy services. Strong pluses (not required — you'll have roo