Software Engineer 2 (AI)

Full-time Job Type
Hybrid Work Arrangement
Mid-Level Experience
Apply Now Posted 1 hr ago

Hybrid role in Beijing, China for a mid-level Software Engineer at Microsoft. The AI Asia Platform Team is building infrastructure for AI products like Azure and Copilot. The role focuses on developing high-performance systems for AI applications.

Skills / Requirements

  • Agent Architecture
  • Agent Runtime Development
  • AI Developer Tooling
  • AWS
  • Azure
  • C++
  • Concurrency
  • Distributed Systems
  • GCP
  • Kubernetes
  • LLM Serving Infrastructure
  • Memory Management
  • Model Quantization
  • Platform Abstraction
  • Python
  • RLHF
  • Rust
  • Transformer Inference
  • Vibe Coding

Why Apply

This role is ideal for developers skilled in vibe coding with AI tools, as it involves working with AI-assisted development tools and applications. You'll engage with technologies like LLM serving frameworks and AI developer toolchains.

What You'll Be Doing

You will design and implement runtime systems for autonomous agents, optimize LLM serving infrastructure, and develop AI-assisted tools. Transform experimental agent capabilities into production-grade platform services, impacting developers globally.

Working in Beijing, China

  • Beijing is a major tech hub in China, offering vast opportunities for tech professionals.
  • The city is home to many global tech giants and startups, fostering a dynamic tech ecosystem.
  • Beijing's public transportation system is extensive, making commuting convenient.
  • Living in Beijing offers a rich cultural experience with numerous historical sites and modern amenities.

Pay and Career Growth

Microsoft offers a collaborative culture focused on growth and innovation. The role provides exposure to cutting-edge AI technologies, with potential for career advancement in AI infrastructure development. Security screenings are part of the hiring process.

Benefits and Perks

  • Equal opportunity
  • Growth mindset
  • Inclusive culture
  • security screening

Is This Role Right for You?

Good fit if you...

  • Experienced in multi-language programming, especially with Rust, C++, C#, and Python.
  • Familiar with AI developer tools and has experience in distributed systems architecture.
  • Interested in transforming AI research into enterprise-grade platform services.

May not be for you if...

  • Lacks experience with AI-assisted development tools and applications.
  • Unfamiliar with LLM infrastructure and serving frameworks.
  • Prefers roles focused on front-end development rather than systems engineering.

Original Job Description

Overview

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 2 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.

Responsibilities

  • 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

Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience.

  • Solid multi-language programming and vibe-coding proficiency: Production-level experience with Rust, C++, C#, and Python (expertise in at least two required, familiarity with all four preferred)

  • 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:

  • 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.

#MicrosoftAI

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. (https://careers.microsoft.com/v2/global/en/accessibility.html)