Sr Gen AI Lead
Location - Ideally San Jose, CA - but we are open for remote workers as well
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
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