AI Agent Developer
Location: Minneapolis MN (4 days a week)
C2C
Role Summary:
Design build and scale autonomous AI agents that augment software engineering DevSecOps and enterprise developer workflows using modern large language models (LLMs) and agentic architectures.
Key Responsibilities:
- Design and develop autonomous and semi autonomous AI agents leveraging LLMs and agentic frameworks to solve complex engineering and operational problems.
- Build AI-powered developer productivity tools including assistants for code generation review refactoring and documentation.
- Develop and deploy agents that automate coding testing CI/CD DevSecOps and quality assurance workflows.
- Integrate leading LLM platforms and copilots (e.g. GitHub Copilot Claude Codex) into enterprise developer toolchains and workflows.
- Architect agent orchestration tool calling memory and feedback loops to ensure reliability security and scalability.
- Partner with platform security and engineering teams to ensure secure compliant and production ready AI solutions.
- Continuously evaluate emerging LLMs frameworks and agentic patterns to drive innovation and best practices.
AI Agent Developer Location: Minneapolis MN (4 days a week) C2C Role Summary: Design build and scale autonomous AI agents that augment software engineering DevSecOps and enterprise developer workflows using modern large language models (LLMs) and agentic architectures. Key Responsibilities:...
AI Agent Developer
Location: Minneapolis MN (4 days a week)
C2C
Role Summary:
Design build and scale autonomous AI agents that augment software engineering DevSecOps and enterprise developer workflows using modern large language models (LLMs) and agentic architectures.
Key Responsibilities:
- Design and develop autonomous and semi autonomous AI agents leveraging LLMs and agentic frameworks to solve complex engineering and operational problems.
- Build AI-powered developer productivity tools including assistants for code generation review refactoring and documentation.
- Develop and deploy agents that automate coding testing CI/CD DevSecOps and quality assurance workflows.
- Integrate leading LLM platforms and copilots (e.g. GitHub Copilot Claude Codex) into enterprise developer toolchains and workflows.
- Architect agent orchestration tool calling memory and feedback loops to ensure reliability security and scalability.
- Partner with platform security and engineering teams to ensure secure compliant and production ready AI solutions.
- Continuously evaluate emerging LLMs frameworks and agentic patterns to drive innovation and best practices.
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