• 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.