About The Position

We are looking for a DevOps Software Developer to join our AI Enablement team - a group focused on accelerating the adoption and integration of AI-powered tools, workflows, and capabilities across engineering and business functions. You will serve as a technical leader who bridges the gap between cutting-edge AI capabilities and practical, production-grade implementation.

Requirements

  • 3-5+ years of software engineering experience.
  • Proficiency in Python and/or TypeScript/JavaScript for building AI-integrated applications.
  • Hands-on experience with LLM Tools: CoPilot, ChatGPT, Gemini, Claude, Kiro or similar AI coding assistants and extending/customizing them.
  • Experience building, configuring and deploying production-grade services with observability, reliability, and security in mind.
  • Excellent communication skills, able to explain AI concepts clearly to technical and non-technical stakeholders.
  • Must be eligible to obtain and maintain up to top secret security clearance.

Nice To Haves

  • Strong understanding of REST API design, cloud platforms (AWS, Azure, or GCP), and containerization (Docker/Kubernetes).
  • Familiarity with MLOps practices, model fine-tuning, or evaluation frameworks.
  • Background in DevOps/platform engineering or developer experience (DX) improvement.
  • Experience with Infrastructure-as-Code deployment and maintenance.
  • Exposure to AI governance, responsible AI frameworks, or compliance considerations.

Responsibilities

  • Design, build, and maintain AI-powered developer tooling, internal platforms, and automation pipelines.
  • Evaluate and integrate large language models (LLMs), AI APIs, and third-party AI services into existing systems.
  • Lead proof-of-concept evaluation and adoption for emerging AI capabilities and drive them to production readiness.
  • Define, collect and document: standards, patterns, and best practices for AI integration across the engineering organization.
  • Collaborate with product management, development, and platform teams to identify high-impact AI enablement opportunities.
  • Mentor developers on AI development patterns, prompt engineering, and responsible AI practices.
  • Contribute to the evaluation and selection of AI frameworks, tools, and vendors.
  • Champion responsible AI practices including bias evaluation, privacy considerations, and security review of AI-driven components.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

1-10 employees

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