AI Model Optimization Specialist
1 dia atrás
We are seeking an AI Engineer to join a small team in building backend features for a Retrieval-Augmented Generation (RAG) service. The primary focus will be on building and optimizing RAG models for search across large-scale medical and scientific documents.
- Pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate
- Semantic chunking strategies, improving the automated evaluation pipeline
- Fine-tuning LLMs for textual RAG use cases
For this role, you'll need:
- 1+ years of experience as a Search Engineer or AI Engineer
- Search Technology Experience – OpenSearch, building scalable search systems
- 2+ years of Python development experience, including API creation, model training, testing, and general backend programming
- Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval
- Strong communication skills – able to work independently while providing clear updates to the team
This position offers:
- A fully remote work arrangement
- 10AM - 6PM BRT (9AM-5PM EST) working hours
- Paid on a monthly basis, no overtime
The project involves hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout.
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