
Data Science Backend Developer
Há 6 dias
About the Role:
We are seeking a skilled Artificial Intelligence Engineer to join our team in building backend features for a Retrieval-Augmented Generation (RAG) service.
The primary focus will be on designing 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.
You'll work on semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning LLMs for textual RAG use cases. The role involves hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout.
Key Responsibilities:
- Design and optimize RAG models for search
- Pre-process and embed large-scale documents
- Implement semantic chunking strategies and improve the automated evaluation pipeline
- Fine-tune LLMs for textual RAG use cases
Requirements:
- 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
Preferred Skills:
- Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
- Exposure to RAG architectures, specifically textual RAG use cases
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