Raas Infotek
Gen AI Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Gen AI Lead in San Jose, CA, with a contract length of "TBD" and a pay rate of "TBD." 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
June 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Langchain #Cloud #Python #Regression
Role description
Role - Sr Gen AI Lead
Location - San Jose , CA Onsite only
Only - USC and GC (W2)
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
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 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 - San Jose , CA Onsite only
Only - USC and GC (W2)
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
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 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
