SIMARN Solutions
Sr. Gen AI Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Sr. Gen AI Lead" based in San Jose, CA, with an onsite contract. Key skills include strong Python development, LLMs, prompt engineering, and familiarity with cloud AI services. Experience with LangChain and regression is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 28, 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
#Cloud #AI (Artificial Intelligence) #Langchain #Python #Regression
Role description
Role - Sr Gen AI Lead
Location - San Jose, CA Onsite.
Note: Candidate this is onsite interview required in San Jose, CA or Santa Clara, CA.
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.
Note: Candidate this is onsite interview required in San Jose, CA or Santa Clara, CA.
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
