Lead Gen AI Engineer

Siri InfoSolutions Inc

Phoenix (AZ)

On-site

USD 140,000 - 190,000

Full time

12 days ago
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Job summary

Siri InfoSolutions Inc in Phoenix, AZ is seeking a Lead AI/GenAI Engineer for an onsite, 12+ month engagement. You will design and deliver advanced GenAI/LLM solutions, architect AI-powered workflows, and lead hands-on development across the stack.

The role requires strong Python skills, practical experience with embeddings, RAG, vector databases, LangChain or LlamaIndex, and integration of OpenAI/Azure OpenAI, Anthropic Claude, or Gemini APIs; familiarity with REST/microservices is essential.

Qualifications

  • 8+ years of software/AI engineering experience with hands-on development.
  • Strong experience in Generative AI, LLMs, and AI/ML solutions.
  • Excellent Python programming skills.
  • Hands-on experience with RAG, embeddings, vector databases, and prompt engineering.
  • Experience with LangChain and/or LlamaIndex.
  • Experience integrating OpenAI/Azure OpenAI, Anthropic Claude, or Gemini APIs.
  • Experience building AI Agents / Agentic AI workflows.
  • Strong knowledge of REST APIs, microservices, and enterprise application integration.

Skills

GenAI & LLMs
Python programming
RAG
Embeddings
Vector databases
Prompt engineering
LangChain
LlamaIndex
OpenAI/Azure OpenAI integration
Anthropic Claude & Gemini APIs
AI Agents / agentic workflows
REST APIs / microservices

Tools

LangChain
LlamaIndex
Vector databases

Job description

Lead AI/GenAI Engineer/Only W2

Location: Phoenix, AZ (Day 1 Onsite)


Duration: 12+ Months (Extendable)


Job Description


  • 8+ years of software/AI engineering experience with strong hands-on development.

  • Strong experience in Generative AI, LLMs, and AI/ML solutions.

  • Excellent Python programming skills.

  • Hands-on experience with RAG, embeddings, vector databases, and prompt engineering.

  • Experience with LangChain and/or LlamaIndex.

  • Experience integrating OpenAI/Azure OpenAI, Anthropic Claude, or Gemini APIs.

  • Experience building AI Agents / Agentic AI workflows.

  • Strong knowledge of REST APIs, microservices, and enterprise application integration.

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