- Location
- Bengaluru, Karnataka, India
- Job type
- Part-time
Required skills
- LangChain
- Python
- end-to-end
About the role
Sourcebae
Website:
sourcebae.com
Job details:
LLM / Knowledge Engineer
3 yrs
Role: Build and optimize LLM layer and RAG-based knowledge systems for enterprise AI applications.
Key Responsibilities:
- Design LLM abstraction layer (LiteLLM / Bedrock)
- Implement model routing (cost, latency, capability)
- Develop prompt libraries & structured outputs
- Build end-to-end RAG pipelines (ingestion → retrieval)
- Manage vector DBs & optimize retrieval (hybrid + reranking)
- Run evaluation experiments (Ragas, DeepEval)
Required Skills:
- LLMs (GPT-4, Claude, Llama, Mistral)
- RAG (LangChain / LlamaIndex)
- Vector DBs (OpenSearch, Qdrant, Weaviate, Milvus)
- Embeddings & retrieval optimization
- Python (strong)
- Knowledge graphs (Neo4j/Neptune – good to have)
Click on Apply to know more.
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