AI Agent Developer

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

We are seeking an experienced AI Agent Developer to design, build, and scale autonomous and semi-autonomous AI agents that enhance software engineering, Dev Sec Ops , 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.

• 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, Dev Sec Ops  processes, and quality assurance.
• Integrate leading LLM platforms and copilots (e.g., Git Hub Copilot, Anthropic Claude, OpenAI Codex) into enterprise development ecosystems and tool chains.
• 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.

• 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 Lang Chain, Llama Index, 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 Dev Sec Ops  practices, CI/CD pipelines, and modern software delivery workflows.
• Strong understanding of software engineering principles, system design, and scalable architecture.

• Experience building production-grade AI agents or copilots in enterprise environments.
• Familiarity with Git Hub 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.

• 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