Job positing Title : AI Agent Developer
Location: Minneapolis MN (Hybrid - Only Locals OR CST Time Zone can apply)
Experience:10 Years
Job Description:
- Bachelors degree in Computer Science Information Technology or related field.
- 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.
- 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.
- 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.
Job positing Title : AI Agent Developer Location: Minneapolis MN (Hybrid - Only Locals OR CST Time Zone can apply) Experience:10 Years Job Description: Bachelors degree in Computer Science Information Technology or related field. Design build and scale autonomous AI agents that augment software...
Job positing Title : AI Agent Developer
Location: Minneapolis MN (Hybrid - Only Locals OR CST Time Zone can apply)
Experience:10 Years
Job Description:
- Bachelors degree in Computer Science Information Technology or related field.
- 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.
- 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.
- 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.
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