AI Development & Agent Ops Software Engineer 2

What you'll do

• Engineer and operate the agentic harness including CI/CD integrations, pipeline quality gates, and orchestration capabilities.
• Develop and manage the agent lifecycle framework including versioning, testing, validation, and release management.
• Build and maintain shared services, reusable frameworks, and developer tooling to accelerate AI adoption.
• Define and maintain technical standards for knowledge base content, metadata, and structure for agentic systems.
• Drive engineering best practices for automation, testing, observability, and platform performance across the agentic ecosystem.
• Design and refine services and platforms that enable 9,000 engineers to develop with AI agents at scale.

What we're looking for

• 3+ years in a software engineering role.
• Deep hands-on familiarity with modern software development practices, CI/CD, DevOps, and developer tooling.
• Strong working knowledge of the current AI/agentic development landscape.
• Demonstrated ability to structure ambiguous problems into concrete outputs like analyses, prototypes, specifications, or frameworks.
• Experience working cross-functionally with engineering, product, security, and infrastructure stakeholders.
• Strong written and verbal communication skills to translate technical complexity for technical and non-technical audiences.
• Direct, hands-on experience with agentic development tools and platforms (preferred).
• Familiarity with MCP ecosystems, LLM token economics, and AI governance frameworks at enterprise scale (preferred).