Microsoft AI Asia Platform Team builds the foundational infrastructure powering Microsoft's AI products across Azure, Copilot, Bing, and internal engineering systems. We develop enterprise-grade Agent Runtime, large-scale model training/serving frameworks, and next-generation AI developer toolchains. Our infrastructure directly impacts how millions of developers build and deploy AI applications globally.

We are seeking a software engineer with solid multi-language programming capabilities to build high-performance, reliable infrastructure for Agent systems. You will work on the core runtime for autonomous agents, distributed LLM serving, and RL-based training pipelines—turning cutting-edge AI research into production-grade platform services.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Agent Runtime Development: Design and implement high-throughput runtime systems supporting Tool Use, Function Calling, and multi-agent orchestration at scale.
• LLM Serving Infrastructure: Optimize inference stacks including request scheduling, KV cache management, continuous batching, speculative decoding, and model parallelism.
• AI Developer Tooling: Develop AI-assisted development tools and applications (similar to Claude Code, OpenClaw) to boost engineering / work productivity.
• Platform Abstraction: Transform experimental agent capabilities into reusable platform APIs, SDKs, and managed services for upstream product teams.

Required 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.
• Systems engineering fundamentals: Deep understanding of concurrency, memory management, performance optimization, and distributed systems architecture.
• Agent architecture knowledge: Solid grasp of modern agent paradigms (ReAct, CoT, Function Calling, Agent State Management) with hands-on implementation experience.
• LLM infrastructure foundation: Understanding of Transformer inference mechanics, experience with serving frameworks (vLLM, TensorRT-LLM, Triton, or custom stacks).

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master'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 Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• RL Training Experience: Hands-on experience with RLHF, DPO, PPO, or offline RL for language model alignment.
• High-Performance Deployment: Expertise in model quantization (GPTQ/AWQ/GGUF), compiler optimization (MLIR/TVM), or heterogeneous hardware acceleration (GPU/TPU/NPU).
• Agent Systems Depth: Contributions to open-source agent frameworks (LangGraph, AutoGen, OpenHands, CodeR) or deep technical analysis of Claude Code/ OpenClaw implementations.
• Cloud-Native Engineering: Experience building services on Kubernetes, service mesh architectures, or Azure/GCP/AWS platforms at scale.

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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.