> Markdown version of [/jobs/ext/2058440-senior-software-engineer](https://www.wearedevelopers.com/jobs/ext/2058440-senior-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Software Engineer

- **Company:** Microsoft
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, C Sharp (Programming Language), C++ (Programming Language), Mobile Application Development, Command-Line Interface, Data Security, Software Debugging, Python (Programming Language), Role-Based Access Control, Markdown, Software Engineering, YAML, GitHub Copilot, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Information Technology, Low Latency, Automation Anywhere
- **Published:** August 14, 2026
- **Apply:** https://www.careerjet.com/job/usfde7d4fdcfd967279b4fe04da248ed41/eaa

## About the Role

safely build AI agents for support workflows with reduced barrier to entry. Collaboration across teams: you can align with partners and move work forward together 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 Experience building Large Language Model (LLM)-powered applications, Retrieval-Augmented Generation (RAG) pipelines, prompt engineering, agent frameworks (Semantic Kernel, LangChain), or fine-tuning with an eye for evaluation, latency, and cost Proficiency in AI-native development working within Agent Harnesses (GitHub Copilot Command-Line Interface (CLI), Coding Agents), authoring Markdown specs/Architecture Decision Records (ADRs) and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the Software Development Life Cycle (SDLC), and reviewing Agent-generated code
and Pull Requests (PRs) with production-grade rigor Experience with shipping enterprise scale services Experience shipping agent-based systems in production, including hands-on experience with evals, observability, and debugging Experience standing up evals or observability for non-deterministic systems Experience contributing to the safety posture of AI systems, including prompt-injection defences and audit trails Experience owning and shipping significant features or architectural components end to end

## Description

Owning the run-state reliability of AI-driven support workflows, including incident response, live-site health, and continuous tuning. Adapting AI workflows to changing support business policies and operational processes (e.g., Service Level Agreement (SLA) calculations, case ownership, escalation models). Driving customer trust, satisfaction, and sentiment, ensuring AI agents correctly understand intent and guide customers to resolution without degrading experience. Ensuring security, privacy, and responsible AI compliance, including rethinking Role-Based Access Control (RBAC), data access, case ownership vs. processing, and data exposure. Defining and implementing observability, monitoring, and intervention mechanisms for multiple AI agents operating concurrently. Partnering across engineering, support business, compliance, and platform teams to establish scalable patterns for AI-managed support. Contributing to the vision and delivery of a platform that enables citizen developers to


## 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)
- [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load)
- [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)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Agentic AI: building autonomous systems for developers](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers)

## 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)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)