2 days ago
Base Salary
$120k - $261k/yr
Responsibilities
- Design and build scalable production agentic AI services using LLM orchestration, RAG pipelines, agent workflows, tool integrations, memory, state management, and human-in-the-loop experiences.
- Write, review, test, and maintain production-quality C# and Python code while building reusable components and engineering patterns.
- Own technical delivery from customer and product requirements through design, implementation, testing, deployment, monitoring, and continuous improvement.
- Develop evaluation frameworks using rubrics, golden datasets, simulations, judge models, adversarial testing, and offline and online evaluation.
- Engineer for correctness, reliability, availability, latency, scalability, maintainability, cost efficiency, and safety.
- Implement privacy protections, prompt-injection defenses, least-privilege tool access, identity and authorization controls, data boundaries, approval gates, auditability, and fail-safe behavior.
- Integrate agents with Azure services, data sources, APIs, and cloud-native services.
- Operate production services using automated testing, feature flags, staged rollouts, tracing, logging, metrics, alerting, and incident response.
- Evaluate models, frameworks, prompts, retrieval strategies, and architectures using experiments and production telemetry.
- Lead technical execution, design reviews, cross-team coordination, mentoring, code reviews, and applied AI engineering guidance.
Requirements
- Bachelor's degree in computer science or a related technical field and 4+ years of technical engineering experience with coding, or equivalent experience.
- Coding experience in one or more of C, C++, C#, Java, JavaScript, or Python.
- Ability to meet Microsoft Cloud Background Check and applicable customer or government security screening requirements.
- Preferred experience with Azure services such as Azure OpenAI, Azure AI Foundry, Azure Functions, and Cosmos DB.
- Preferred experience building or integrating LLM-based systems, RAG systems, agent frameworks, or production agentic and multi-agent workflows.
- Preferred experience designing AI evaluation systems, implementing agent-security patterns, and building reliable distributed services.
- Preferred experience with infrastructure as code, container orchestration, feature management, staged production deployment, CI/CD, automated testing, and production observability.
- Demonstrated ability to lead technical execution, influence design decisions, mentor engineers without formal people-management authority, and collaborate across product, platform, research, and partner engineering teams.
- Strong understanding of data structures, algorithms, system design, business judgment, and customer or operational outcomes; customer support engineering or diagnostics experience is a plus.
Benefits
- Certain roles may be eligible for benefits and other compensation.
- The position requires passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter, along with applicable customer or government security screenings.
- Applications are accepted on an ongoing basis until the position is filled, with the posting open for a minimum of 5 days.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.