RAG and Evaluation Engineer

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🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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LTS

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏛️ Government

🏢 Enterprise

🔐 Security

Government • Enterprise • Security

LTS is a government-focused mission support and healthcare services firm that provides emergency response, occupational health, automated healthcare solutions, and enterprise consulting. It offers rapid nationwide deployment for disaster response, logistics and mass care, and delivers automated diagnostic kiosks, diagnostic lab testing, medical staffing, on-site clinics, and testing/vaccination management for underserved and remote populations. LTS also provides IT modernization, cloud and systems integration, cybersecurity and risk management, AI/ML and data analytics, and program management for federal, state, and local clients with strong compliance (HIPAA and federal standards) and public-sector acquisition experience.

📋 Description

• Own the knowledge surface — ingestion pipelines for source code, structured metadata, technical documentation, patches, and additional corpora the customer provides. • Own retrieval quality — chunking, embeddings, hybrid retrieval, reranking, and freshness. • Own the eval harness — benchmarks for translation accuracy, dependency-map correctness, and overall agent quality. • Run A/B testing and regression detection across prompts, retrieval, and model changes. • Operate the feedback loop from production usage back into evals and retrieval. • Define what “good” means for the platform when no one else has a clear view, so the team can tell whether the agent is actually improving. • Pair with the Agent Engineers on the prompt-and-eval iteration cycle.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Science, or a related field, plus 4 years of professional software engineering experience; equivalent experience may substitute for the degree requirement. • Has shipped a production RAG system with quality the candidate can describe in numbers (rigor matters more than scale). • Ability to work in a fast-paced, collaborative environment. • Production experience with retrieval pipelines — ingestion, chunking, embedding, hybrid retrieval, reranking. • Strong applied evaluation skills — benchmark design, regression detection, LLM-as-judge patterns. • Knows when BM25 beats embeddings and when neither is enough. • Measures everything they ship; opinions about chunking are backed by benchmarks. • Patient with detail; comfortable defining metrics before the team has agreed on them. • Heavy native use of AI tooling: agents in parallel, model as collaborator. • Strong TypeScript or Python. • Demonstrated experience in a remote work environment.

🏖️ Benefits

• The opportunity to support high visibility federal missions in IT and healthcare • A culture that values innovation, growth, collaboration, and quality • Access to cutting-edge tools and technologies • Comprehensive benefits for you and your family • A career path that rewards ambition and performance