Yochana
Sr Gen AI Lead-San Jose, CA-Onsite
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Gen AI Lead in San Jose, CA, offering a 12+ month contract. Requires strong Python skills, experience with LLMs, and familiarity with LangChain and cloud AI services. Onsite work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 9, 2026
🕒 - Duration
More than 6 months
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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 Francisco Bay Area
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🧠 - Skills detailed
#Python #Langchain #Cloud #Regression #AI (Artificial Intelligence)
Role description
Role - Sr Gen AI Lead
Location - San Jose, CA - Onsite
Contract:12+ Months
Gen AI Engineers build the core intelligence layer—agents, workflows, prompts, and decision logic—that power enterprise AI applications
.Very Strong experience with Python 80% and agentic AI 20%
Technology Stack (Priority Order)
1. Languages: Python
1. Agent & RAG Frameworks: LangChain, LlamaIndex, DSPy
1. LLM APIs: Gemini, Bedrock, Vertex AI, Claude
1. Vector DBs: Pinecone, Weaviate (Can be any)
1. Evaluation: LangSmith, custom eval pipeline
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 - San Jose, CA - Onsite
Contract:12+ Months
Gen AI Engineers build the core intelligence layer—agents, workflows, prompts, and decision logic—that power enterprise AI applications
.Very Strong experience with Python 80% and agentic AI 20%
Technology Stack (Priority Order)
1. Languages: Python
1. Agent & RAG Frameworks: LangChain, LlamaIndex, DSPy
1. LLM APIs: Gemini, Bedrock, Vertex AI, Claude
1. Vector DBs: Pinecone, Weaviate (Can be any)
1. Evaluation: LangSmith, custom eval pipeline
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
