Lorven Technologies Inc.

AI Agent Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Agent Developer in Minneapolis, MN (Hybrid) with a contract length of unspecified duration. Key skills include LLMs, DevSecOps, and AI. A Bachelor’s degree in Computer Science or related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 2, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Minnesota, United States
-
🧠 - Skills detailed
#DevSecOps #Scala #AI (Artificial Intelligence) #Quality Assurance #Security #Documentation #GitHub #Computer Science
Role description
Hi, Our client is looking AI Agent Developer in Minneapolis, MN (Hybrid) below is the detailed requirements. Job positing Title : AI Agent Developer Location: Minneapolis, MN (Hybrid) Job Description: • Bachelor’s 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.