Software Engineer II - AI

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Teams Messaging AI provides exciting opportunities in building messaging and large language models (LLM) features that meet the needs of hundreds of millions of engaging users of the fastest growing product in Microsoft's history. This is a unique opportunity to grow and apply your knowledge of innovative web and frontier AI technologies and agentic application architecture in a broad scope to have a significant impact.

We are looking for people who care about culture as well as developing features and engaging the communities they serve. We believe that why we do things is as important as what we do. Big vision, an inclusive purpose, a passion for quality, curiosity as well as grit, and an investment in fun and collaboration are what lead to remarkable results.

As an Software Engineer II - AI, you will be an integral part of our tight-knit group of dedicated problem solvers. The team its currently working with a large engineering group and Microsoft Search Assistant, and Intelligence (MSAI) organizations to deliver an innovative experience to hundreds of millions of Microsoft Teams users.

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.

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.
• 1+ years ability to navigate complex problems with a thorough design and collaborate with multiple partners on common goals.
• 1+ year experience with GenAI and large language models (LLM) flow development.

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

• 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 Master'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.
• Experience with software system design and architecture.
• Experience with LLM and Multi-agent feature or product development.
• Experience with unit-test, continuous integration, and test-driven client and service development.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until August 31st, 2025.

• Design, implementation, and shipping of multiple new messaging and large language models (LLM) agentic features.
• Building end-to-end user experiences that work across multiple devices and browsers.
• Writing and maintaining unit tests, large language models (LLM) eval and automated integration or end-to-end tests.
• Building web and AI applications in enterprise and/or consumer markets.
• Collaborating with partner teams to meet engineering goals.
• Managing individual projects or feature priorities, deadlines, and deliverables.