Raas Infotek
Gen AI Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Gen AI Lead on a contract basis, offering a pay rate of "unknown." It requires expertise in Python, LangChain, Langgraph, and LLMs, with a focus on building workflows and optimizing AI applications. Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
January 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Cloud #AI (Artificial Intelligence) #Regression #Langchain #Python
Role description
Position: Sr Gen AI Lead
Location: Remote
Contract
Implementation Partner
Visa: USC/Green card /E3 visa/ TN visa/ GC-AED
Job Description:
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, Langgraph
1. LLM APIs: Gemini, Claude
1. Vector DBs: Pinecone, Weaviate
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
1. Languages: Python
1. Agent & RAG Frameworks: LangChain, Langgraph
1. LLM APIs: Gemini, Claude
1. Vector DBs: Pinecone, Weaviate
Position: Sr Gen AI Lead
Location: Remote
Contract
Implementation Partner
Visa: USC/Green card /E3 visa/ TN visa/ GC-AED
Job Description:
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, Langgraph
1. LLM APIs: Gemini, Claude
1. Vector DBs: Pinecone, Weaviate
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
1. Languages: Python
1. Agent & RAG Frameworks: LangChain, Langgraph
1. LLM APIs: Gemini, Claude
1. Vector DBs: Pinecone, Weaviate
