Sr Software Engineer

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Software Engineering

Senior Software Engineer to design and ship core components of an agentic sales platform, owning features end-to-end from prototype to production. Responsibilities include working across orchestration, grounding, evals, observability, and SDK surfaces, while raising the bar for agent development and evaluation. Requires experience building with agent stacks and a strong understanding of AI-native development principles.

What you'd actually do

  1. Design and build major components of our agentic sales platform: orchestration, tools and skills, grounding, evals and observability, and model routing.
  2. Own components end to end, from prototype to production, including the harder judgment calls within your area.
  3. Partner with AI Foundry, Microsoft Research, Substrate, and the Copilot organization to use shared primitives like agent SDKs, eval harnesses, content safety, and telemetry.
  4. Contribute to the eval and Responsible AI bar for shipping agents in the Sales surface, with a focus on production-grade quality.
  5. Help raise the agent-engineering bar through code review, design review, and mentoring peers.

Skills

Required

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Nice to have

  • BS in CS or equivalent + 5+ years of software engineering (or MS + 3 / PhD + 1).
  • Experience with at least one of C#, TypeScript, Python; comfortable across all three.
  • Demonstrated ability to own and ship significant features or architectural components end to end.
  • 1+ year shipping LLM-based or agent-based systems in production, including hands-on experience with evals, observability, and debugging.
  • Production experience with one or more major agent stacks such as Microsoft 365 Agents SDK, AutoGen, Magentic-One, LangGraph, OpenAI Agents SDK, Anthropic SDK with MCP, or Semantic Kernel.
  • Collaboration across teams: you can align with partners and move work forward together.
  • Proficiency in AI-native development working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor.
  • Experience shipping quickly with agentic tools.
  • Public artifacts that show how you build with agents, such as shipped side projects, open-source contributions, technical writing, or talks.
  • Experience standing up evals or observability for non-deterministic systems.
  • Experience contributing to the safety posture of a multi-tenant system, including prompt-injection defenses and audit trails.

What the JD emphasized

  • shipping LLM-based or agent-based systems in production
  • hands-on experience with evals, observability, and debugging
  • Production experience with one or more major agent stacks
  • AI-native development working within Agent Harnesses
  • orchestrating multi-step Agentic workflows
  • reviewing Agent-generated code and PRs with production-grade rigor
  • Experience standing up evals or observability for non-deterministic systems
  • Experience contributing to the safety posture of a multi-tenant system

Other signals

  • shipping core components of agentic sales platform
  • design and ship core components of the agentic sales platform
  • own features end to end, from prototype to production
  • working across orchestration, grounding, evals, observability, and the SDK surfaces other engineers build on
  • take real ownership of what you ship
  • help raise the bar for how agents are built and evaluated on the team
  • grow your influence as you go
  • strong bias for action who already builds with Claude Code, Codex, MCP, or open-source agent stacks
  • follow the frontier closely
  • do it at a global scale
  • Design and build major components of our agentic sales platform: orchestration, tools and skills, grounding, evals and observability, and model routing
  • Own components end to end, from prototype to production, including the harder judgment calls within your area
  • Partner with AI Foundry, Microsoft Research, Substrate, and the Copilot organization to use shared primitives like agent SDKs, eval harnesses, content safety, and telemetry
  • Contribute to the eval and Responsible AI bar for shipping agents in the Sales surface, with a focus on production-grade quality
  • Help raise the agent-engineering bar through code review, design review, and mentoring peers
  • Bring strong agentic patterns into the team's work and share what you learn
  • 1+ year shipping LLM-based or agent-based systems in production, including hands-on experience with evals, observability, and debugging
  • Production experience with one or more major agent stacks such as Microsoft 365 Agents SDK, AutoGen, Magentic-One, LangGraph, OpenAI Agents SDK, Anthropic SDK with MCP, or Semantic Kernel
  • Proficiency in AI-native development working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor
  • Experience shipping quickly with agentic tools
  • Public artifacts that show how you build with agents, such as shipped side projects, open-source contributions, technical writing, or talks
  • Experience standing up evals or observability for non-deterministic systems
  • Experience contributing to the safety posture of a multi-tenant system, including prompt-injection defenses and audit trails