Sr. GenAI Engineer
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Role details
Tech stack
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Job description
Python + Data Preparation + RAG + Agentic AI + LLM + LangChain/LangGraph + Vector DB + Production GenAI Avoid: candidates who are primarily traditional Data Scientists/ML Engineers and only have theoretical or POC-level exposure to RAG/Agents. The client specifically wants someone who has implemented these solutions hands-on., Role: Python-AI/ML-GenAI- Senior Engineer Location: Phoenix, AZ - onsite Duration: 6 months Rate: $68/hr “Proficiency with distributed/multi-tier systems and application devel…
- 14 days ago
Requirements
Must-Have Skills
- Strong Python development experience
- Strong experience preparing, cleaning, transforming, and structuring data for AI/ML and GenAI use cases
- Hands-on experience building RAG (Retrieval-Augmented Generation) solutions
- Strong experience with Agentic AI / AI Agents implementation
- Experience with LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, etc.
- Strong understanding of embeddings, vector databases, semantic search, chunking, and retrieval
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Experience with frameworks such as:
- LangChain
- LangGraph
- LlamaIndex
- Experience building production-ready GenAI applications
- Experience integrating AI solutions with APIs, enterprise applications, and databases
- Strong understanding of prompt engineering and LLM orchestration
- Experience with data pipelines and preparing enterprise data for GenAI applications
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