Software Engineer Ii, Foundry Agents - Coreai

Microsoft Microsoft · Big Tech · Redmond, WA +4 · Software Engineering

Software Engineer II role focused on building foundational platforms for intelligent agents and generative AI systems within Microsoft Foundry. The role involves developing large-scale, cloud-native systems for the end-to-end agent lifecycle, including secure enterprise deployment, tool integration, model fine-tuning, and production observability/evaluation. It sits at the intersection of distributed systems, AI infrastructure, and developer platforms.

What you'd actually do

  1. Implement and maintain services that support agent deployment, execution, and observability
  2. Contribute to building distributed systems and cloud services for running agents at scale
  3. Improve tooling and workflows for engineering and research through incremental enhancements
  4. Debug issues across services, models, and infrastructure with support from senior team members
  5. Participate in design discussions and contribute to team-level technical decisions

Skills

Required

  • Bachelor's Degree in Computer Science or related technical field
  • 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • Ability to meet Microsoft, customer and/or government security screening requirements

Nice to have

  • Demonstrated expertise in solving complex technical challenges in one or more domains such as distributed systems, AI/ML infrastructure, developer platforms, or cloud services
  • 1+ years of experience in backend service development (APIs, microservices, or distributed systems)
  • Demonstrated proficiency with AI-assisted software development tools and workflows (e.g. AI coding agents, LLM-powered development environments)

What the JD emphasized

  • enterprise scale
  • production

Other signals

  • building foundational platforms for intelligent agents
  • end-to-end agent lifecycle
  • enterprise scale deployment
  • model fine-tuning
  • observability and evaluation in production