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Ai Agent Engineer Jobs in Minnesota (NOW HIRING)

Hunt Electric Corporation

AI Agent Developer

Eagan, MN · On-site

$77 - $102/hr

Summary The AI Agent Developer will design, develop, and optimize AI-driven solutions, including crafting effective prompts for large language models (LLMs) and building AI agents to automate tasks ...

New

Hunt Electric

AI Agent Developer

Eagan, MN · On-site

$76K - $102K/yr

Summary The AI Agent Developer will design, develop, and optimize AI-driven solutions, including crafting effective prompts for large language models (LLMs) and building AI agents to automate tasks ...

Huntelec

AI Agent Developer

Eagan, MN · Hybrid

$76K - $102K/yr

Summary The AI Agent Developer will design, develop, and optimize AI-driven solutions, including crafting effective prompts for large language models (LLMs) and building AI agents to automate tasks ...

Thomson Reuters

Senior Software Engineer AI

Eagan, MN · On-site

$124K - $164K/yr

Our agent platform team builds and ships using AI-native engineering practices: agentic coding tools that let a small, senior group move at a pace well beyond traditional engineering throughput. That ...

THOMSON REUTERS

Senior Software Engineer AI

Eagan, MN · Hybrid

$124K - $164K/yr

Our agent platform team builds and ships using AI-native engineering practices: agentic coding tools that let a small, senior group move at a pace well beyond traditional engineering throughput. That ...

Irow9

AI Developer - Agentic AI

Plymouth, MN · On-site

$120 - $180/hr

Strong experience with LangGraph/LangChain, multi-agent orchestration, Python/FastAPI, and LLM evaluation is required. Azure experience is a plus, but strong AI engineering experience on any cloud is ...

New

Lightedge

Sr. AI Integration Engineer

Chaska, MN · On-site

$111K - $150K/yr

AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents ... Engineering Standards: Contribute to codebases, deployment pipelines, support practices, and ...

Thomson Reuters

Lead Software Engineer, AI

Eagan, MN · On-site

Our agent platform team builds and ships using AI-native engineering practices: agentic coding tools that let a small, senior group move at a pace well beyond traditional engineering throughput. That ...

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Ai Agent Engineer information

See Minnesota salary details

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How much do ai agent engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai agent engineer in Minnesota is $52.53, according to ZipRecruiter salary data. Most workers in this role earn between $42.36 and $60.96 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are the key skills and qualifications needed to thrive as an AI Agent engineer?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are popular job titles related to Ai Agent Engineer jobs in Minnesota?

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What job categories do people searching Ai Agent Engineer jobs in Minnesota look for?

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What cities in Minnesota are hiring for Ai Agent Engineer jobs?

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Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in Minnesota as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $109,256 per year, or $52.5 per hour.

AI Agent Developer

Codinix Consulting Services

Minneapolis, MN • On-site

$100 - $130/hr

Other

Posted 3 days ago

New

Key responsibilities

  • Design, develop, and deploy autonomous and semi-autonomous AI agents using LLMs and agentic frameworks.

  • Build AI-powered developer productivity tools such as code generation, review, refactoring, debugging, and documentation assistants.

  • Automate and optimize software engineering workflows including coding, testing, CI/CD pipelines, DevSecOps processes, and quality assurance.

Job description

Location: Minneapolis, MN (On-site 4 days/week)
Employment Type: Contract

Job Overview

We are seeking an experienced AI Agent Developer to design, build, and scale autonomous and semi-autonomous AI agents that enhance software engineering, DevSecOps, and enterprise developer workflows. This role focuses on leveraging modern large language models (LLMs) and agentic architectures to deliver intelligent automation, improve developer productivity, and streamline engineering operations across the enterprise.

Key Responsibilities
  • Design, develop, and deploy autonomous and semi-autonomous AI agents using LLMs and agentic frameworks to solve complex engineering and operational challenges.
  • Build AI-powered developer productivity tools, including assistants for code generation, code review, refactoring, debugging, and documentation.
  • Develop agents that automate and optimize software engineering workflows such as coding, testing, CI/CD pipelines, DevSecOps processes, and quality assurance.
  • Integrate leading LLM platforms and copilots (e.g., GitHub Copilot, Anthropic Claude, OpenAI Codex) into enterprise development ecosystems and toolchains.
  • Architect and implement agent orchestration systems, including tool calling, memory management, reasoning loops, and feedback mechanisms to ensure reliability, scalability, and security.
  • Collaborate closely with platform engineering, security, and software development teams to deliver secure, compliant, and production-ready AI solutions.
  • Continuously evaluate and adopt emerging LLM technologies, frameworks, and agentic design patterns to drive innovation and best practices.
  • Monitor agent performance and iterate on models, prompts, and architectures to improve accuracy, efficiency, and user experience.
Required 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, Semantic Kernel, or similar.
  • Understanding of prompt engineering, tool/function calling, embeddings, vector databases, and retrieval-augmented generation (RAG).
  • Experience integrating APIs and working with cloud platforms (AWS, Azure, or GCP).
  • Familiarity with DevSecOps practices, CI/CD pipelines, and modern software delivery workflows.
  • Strong understanding of software engineering principles, system design, and scalable architecture.
Preferred Qualifications
  • Experience building production-grade AI agents or copilots in enterprise environments.
  • Familiarity with GitHub Copilot, OpenAI, Anthropic, or similar LLM ecosystems.
  • Knowledge of security, compliance, and governance considerations for AI systems.
  • Experience with containerization and orchestration tools (Docker, Kubernetes).
  • Exposure to multi-agent systems or reinforcement learning concepts is a plus.
Soft Skills
  • Strong problem-solving and systems thinking abilities
  • Ability to work cross-functionally with engineering and security teams
  • Strong communication skills, especially in translating AI concepts to business stakeholders
  • Self-driven with the ability to thrive in a fast-paced contract environment
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