Agentic AI Engineer

Agentic AI Engineer (1099 Contract)Overview

We’re a founder-led advisory firm building production AI systems for real business workflows. We’re looking for a hands-on engineer who can design and build LLM-driven applications, including RAG pipelines and agent-based systems.

This is not a research or data science role. We need someone who can take ideas and turn them into working, scalable systems quickly.

What You’ll Do

  • Design and build LLM-powered applications (RAG, agent workflows, orchestration)
  • Develop backend services (Python / APIs) to support AI systems
  • Integrate AI into real business processes and client environments
  • Work directly with leadership to translate business problems into technical solutions
  • Deploy and maintain systems in production (cloud environments)

What We’re Looking For

  • Strong Python backend engineering experience
  • Experience building production AI/LLM systems (not just prototypes)
  • Hands-on with:
  • RAG architectures
  • LLM APIs (OpenAI, Anthropic, etc.)
  • API-driven systems (FastAPI or similar)
  • Experience deploying systems in AWS, Azure, or GCP
  • Ability to move quickly and work independently

Nice to Have

  • Experience with LangChain, LangGraph, or similar frameworks
  • Background in workflow automation or process redesign
  • Client-facing or consulting experience

Requirements

  • Must be able to work as a 1099 independent contractor
  • No sponsorship or employer-dependent arrangements
  • U.S.-based strongly preferred

Engagement

  • Contract (1099)
  • Competitive hourly rate
  • Potential for ongoing work

We are specifically looking for engineers who have built and deployed real AI systems in production—this is not a learning or entry-level role.

Pay: $79,822.52 - $96,130.35 per year

Work Location: Hybrid remote in McKinney, TX 75070

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