Sr Gen AI Lead :: SanJose, CA (Onsite_F2F Interview)

GenAI Engineers build the core intelligence layer-agents, workflows, prompts, and decision logic-that power enterprise AI applications.

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