Role overview
Title
:
Lead Generative AI Engineer
Location
:
**San Jose, CA (Hybrid)
Job Description:**
GenAI Engineers build the core intelligence layer—agents, workflows, prompts, and decision logic—that power enterprise AI applications.
Technology Stack (Priority Order):
Languages: Python
Agent & RAG Frameworks: LangChain, LlamaIndex, DSPy
LLM APIs: Gemini, Bedrock, Vertex AI, Claude
Vector DBs: Pinecone, Weaviate (Can be any )
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
What you'll work on
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
What we're looking for
Strong Python development skills
Hands-on experience with LLMs and embeddings
Solid understanding of prompt engineering and hallucination mitigation
Familiarity with cloud AI services