Senior AI Engineer (LLM Agents)

Location: Singapore; on-site

Company

hirify.global's Materials team builds AI systems for searching, extracting, and reasoning over materials science and patent data.

What you will do

• Design, build, and productionize agentic systems for materials science search, Q&A, and information extraction.
• Develop and maintain memory systems, MCP servers, agent skills, and multi-agent workflows.
• Build evaluation frameworks with materials domain experts to measure answer quality, extraction accuracy, and retrieval performance.
• Own production reliability, monitoring, and observability for developed AI agents.
• Advise adjacent teams on agentic and search system design and assess technical risks and feasibility during roadmap planning.

Requirements

• Degree in engineering, computer science, or a quantitative or physical science, or equivalent practical experience.
• 5+ years of software or ML engineering experience, including 2+ years building production LLM-based systems.
• Experience designing LLM or agent evaluations, including evaluation sets, quality metrics, and human-expert or LLM-judge pipelines.
• Experience instrumenting, monitoring, and debugging live AI services.
• Strong Python skills and the ability to independently build and deploy services.

Nice to have

• Search and RAG experience with vector databases, keyword search, knowledge graphs, reranking, or hybrid retrieval.
• MCP or agent-tool ecosystem experience.
• Materials science, chemistry, or patent and IP domain exposure.
• Experience with structured information extraction from technical documents.

Culture & Benefits

• Full ownership of a production agent stack used by paying customers.
• Evaluation results directly inform the product roadmap.
• Work in a small senior team with direct access to domain experts and real R&D users.