CareerPlanGet AI match score →

Principal Software Engineer (AI / Agentic Developer Productivity)

United States, Washington, Redmond💼 Full-time🗓 2026-07-20 → 2026-07-31

Core

Design, architect, implement, and ship production-quality AI-powered developer tooling and agentic workflows that enhance engineering productivity.

Role type

Principal Software Engineer (AI / Agentic Developer Productivity)

Builds

AI-powered developer tooling, agentic workflows, and engineering systems at scale

Domain

Software Engineering / Artificial Intelligence / Developer Productivity

Deliverable

production ML models | product features

Required skills

System design, algorithms, testing, debugging, code review, AI orchestration, prompt engineering, multi-step reasoning, tool/function calling, RAG, human-in-the-loop workflows, CI/CD pipelines, build systems

Preferred skills

Experience with Agent SDKs, large language models (LLMs), AI pair programming, autonomous software engineering tasks, AI-native code editors, agentic plugins, agents, skills, hooks

Technologies

LangChain, Semantic Kernel, AutoGen, LlamaIndex, GitHub Copilot, Copilot Workspace, Claude Code, OpenAI Codex, ChatGPT, Cursor

Responsibilities

Own and deliver complete features across the development lifecycle; advocate for evolving AI best practices; experiment with multiple AI approaches; mentor and coach engineers; write and review clean, scalable code; lead technical direction; evaluate emerging AI developer tools and translate insights into best practices.

Seniority

Principal, hands-on IC with mentorship

Rewrite
## About the role - Own and deliver complete features across the development lifecycle, including design, architecture, implementation, testability, debugging, shipping, and servicing. - Use AI in your daily coding and advocate to the team and customers an evolving state-of-the-art of how best to do this. - Demonstrate resiliency to experiment and try multiple AI approaches that may not work — because no one has tried them before. - Provide mentorship and coaching to engineers in, and beyond, your team. - Write and review clean, well-thought-out code with an emphasis on quality, performance, simplicity, durability, scalability, and maintainability. - Contribute positively to a culture where everyone can bring their full and authentic self and where we do our best work as a result. ## Requirements - Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. - These requirements include but are not limited to the following specialized security screenings: - Prior experience building with Agent SDKs, large language models (LLMs), prompt engineering, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, LlamaIndex, or similar). - Familiarity with agentic AI development patterns — multi-step reasoning, tool/function calling, retrieval-augmented generation (RAG), and human-in-the-loop workflows. - Proven experience as a Software Engineer delivering large-scale, production-quality systems. - Solid software engineering fundamentals: system design, algorithms, testing, debugging, and code review. - Demonstrated ability to lead technical direction and mentor peers in a collaborative team environment. - Comfort working in ambiguous, fast-moving problem spaces where best practices are still being established. - Hands-on experience with AI-powered developer tooling and coding assistants, such as: - GitHub Copilot and Copilot Workspace — AI pair programming, CLI, and task-oriented development - Claude Code — agentic CLI for autonomous software engineering tasks - OpenAI Codex / ChatGPT — LLM-based code generation and explanation - Cursor — AI-native code editor with inline generation and multi-file edits - Prior experience using agentic plugins, agents, skills, hooks, etc. - Experience dogfooding, evaluating, and forming opinions on emerging AI developer tools, and translating those insights into team-wide best practices. - Background in developer tooling, build systems, CI/CD pipelines, or engineering systems at scale. ## Nice to have - (None specified in the original text) ## What we offer - (None specified in the original text) ## About us - (None specified in the original text)
Sourced via microsoft · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply at Microsoft ↗