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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer (Agentic AI) - **Company:** Microsoft - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $119,800.0 - $234,700.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Microsoft Windows, Artificial Intelligence, C Sharp (Programming Language), C++ (Programming Language), Mobile Application Development, Code Review, Software Debugging, Python (Programming Language), Open Source Technology, Systems Development Life Cycle, Markdown, Software Engineering, TypeScript, YAML, GitHub Copilot, Large Language Models, Build Management, Information Technology, Free and Open-Source Software, Virtual Agents - **Published:** September 13, 2026 - **Apply:** https://www.dice.com/job-detail/dda36b74-fccd-4e0c-a4c2-bc1156f80723 ## About the Role Required/minimum qualifications * 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., * 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. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. ## Description As a Senior Software Engineer (Agentic AI), you will design and ship core components of the agentic sales platform that field sellers and partner teams rely on daily. You own features end to end, from prototype to production, working across orchestration, grounding, evals, observability, and the SDK surfaces other engineers build on. You take real ownership of what you ship, help raise the bar for how agents are built and evaluated on the team, and grow your influence as you go. This role is for an engineer with a strong bias for action who already builds with Claude Code, Codex, MCP, or open-source agent stacks, and who follows the frontier closely. If that's you, this role gives you the surface area to do it at a global scale. Responsibilities * 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. ## Related Videos - [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions) - [Why Is Software Documentation Still Static – And Why Modern Browsers Deserve Better](https://www.wearedevelopers.com/videos/2054-why-is-software-documentation-still-static-and-why-modern-browsers-deserve-better) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How Much Does a Software Engineer Make? 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