AI Agent Developer — On-site Contract (Minneapolis)

Codinix Consulting Services

Minneapolis (MN)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

Codinix Consulting Services is seeking an experienced AI Agent Developer in Minneapolis, MN. This role involves designing and building autonomous AI agents to enhance engineering workflows using large language models (LLMs). Candidates should have over 5 years of software engineering experience and proficiency in Python. The position is on-site 4 days a week and emphasizes collaboration with engineering and security teams to deliver secure AI solutions.

Qualifications

  • 5+ years of software engineering experience, with strong proficiency in backend or full-stack development.
  • Hands-on experience building applications using LLMs, generative AI, or agent-based systems.
  • Strong programming skills in Python (preferred), Java, or similar languages.
  • Experience with LLM frameworks such as LangChain, LlamaIndex, or similar.
  • Understanding of prompt engineering, tool/function calling, embeddings, and retrieval-augmented generation.

Responsibilities

  • Design, develop, and deploy autonomous AI agents using LLMs and agentic frameworks.
  • Build AI-powered developer productivity tools for code generation and documentation.
  • Integrate leading LLM platforms into enterprise development ecosystems.
  • Monitor agent performance and iterate on models for improvements.

Skills

Software engineering experience
Building applications using LLMs
Programming in Python
LLM frameworks (LangChain, LlamaIndex)
API integration and cloud platforms

Tools

Docker
Kubernetes

Job description

Codinix Consulting Services is seeking an experienced AI Agent Developer in Minneapolis, MN. This role involves designing and building autonomous AI agents to enhance engineering workflows using large language models (LLMs). Candidates should have over 5 years of software engineering experience and proficiency in Python. The position is on-site 4 days a week and emphasizes collaboration with engineering and security teams to deliver secure AI solutions.
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