

TestingXperts
Sr Gen AI Lead || San Jose, CA || Only Local
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Gen AI Lead in San Jose, CA, offering a contract length of "unknown" and a competitive pay rate. Required skills include strong Python development, experience with LLMs, and familiarity with LangChain and cloud AI services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Python #Langchain #Cloud #Regression
Role description
Role - Sr Gen AI Lead
Location - Ideally San Jose, CA
GC/USC/EAD
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
Role - Sr Gen AI Lead
Location - Ideally San Jose, CA
GC/USC/EAD
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






