We are hiring one AI/LLM Engineer (1 Mid‑Level) to join a small, focused team building backend features for an existing Retrieval‑Augmented Generation (RAG) service. The primary focus will be building and optimizing RAG models for search across large‑scale medical and scientific documents, including pre‑processing and embedding over half a billion documents to ensure they are searchable and contextually accurate. Responsibilities include semantic chunking strategies, improving the automated evaluation pipeline, fine‑tuning LLMs for textual RAG use cases, hands‑on experimentation, model development, backend engineering, deployments to non‑prod environments, and collaboration with DevOps for production rollout.
AI Engineer (Search Engine) at Insight Global's Client
Remote - Fully Remote
Requirements
Experience
- 1+ years as Search Engineer or AI Engineer
- 2+ years Python development
Skills
- Strong communication skills
- Python development
- API creation
- model training
- testing
- backend programming
- OpenSearch
- search technology
- LangChain
- RAG architectures
- AWS infrastructure familiarity
Responsibilities
- Build and optimize RAG models for search across large-scale medical and scientific documents
- Pre-process and embed over half a billion documents to ensure they are searchable and contextually accurate
- Implement semantic chunking strategies
- Improve automated evaluation pipeline
- Fine-tune LLMs for textual RAG use cases
- Hands‑on experimentation, model development and backend engineering
- Deploy to non‑prod environments
- Collaborate with DevOps for production rollout
- Provide clear updates to the team
Technologies
PythonOpenSearchLangChainAWSRAGLLMAPI
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