Hiring: Lead Research Engineer, Search & Retrieval Company: Thomson Reuters Location: Ann Arbor, MI Job Posted Time: 2026-09-09 17:58:15 Employment Type: Full-time Target Skills & Keywords: Search & Retrieval, OpenSearch, Vespa, Ranking & Re-ranking, RAG Pipelines, Hybrid Retrieval, Semantic Retrieval, Query Understanding, Agentic AI, Ingestion & Indexing Pipelines, Applied Research, Experimentation, Technical Leadership Experience: - Proven experience launching, operating, scaling, and debugging search systems in production - Experience running the exploration → POC → proof of value → productionization loop - Experience acting as technical lead for a squad of 3–5 engineers - Experience partnering closely with applied scientists and feeding production evidence back into research Required Skills: - Designing and building retrieval architectures, ingestion and indexing pipelines, and ranking and re-ranking systems on OpenSearch and Vespa - Building retrieval infrastructure for agentic AI workflows, including tool-facing retrieval APIs, agentic query planning and multi-step retrieval, RAG pipelines, hybrid and semantic retrieval, and query understanding - Rigorous experimentation: baselines, ablations, and controls to validate results - Building with AI tooling and applying healthy skepticism to outputs - Strong communication skills across engineers, scientists, and product stakeholders Qualifications: - Unusually rigorous with evidence and experimental design - Has launched and operated search systems, not just built them - Proactive problem-solver who can identify the most impactful next step on messy projects - Able to defend design choices and update on evidence - Owns end-to-end delivery, including outcome, quality, timeline, and live system health Compensation: Not specified Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!