Location – San Jose, CA Onsite(need Local
face to face interview (Inperson )
Technology Stack (Priority Order)
1. Languages: Python
2. Agent & RAG Frameworks: LangChain, LlamaIndex, DSPy
3. LLM APIs: Gemini, Bedrock, Vertex AI, Claude
4. Vector DBs: Pinecone, Weaviate (Can be any )
5. Evaluation: LangSmith, custom eval pipelines
Key Responsibilities
· Build multi-step and multi-agent workflows
· Implement RAG pipelines and document retrieval strategies
· Design prompt templates, system instructions, and guardrails · Integrate agents with tools, APIs, and internal services · Optimize latency, accuracy, and token usage · Create automated LLM evaluation and regression tests
Required Skills
· Strong Python development skills
· Hands-on experience with LLMs and embeddings
· Solid understanding of prompt engineering and hallucination mitigation
· Familiarity with cloud AI services
Suite 1285, 666 Plainsboro Road
Plainsboro , NJ , 08536