Senior Software Engineer - GenAI

MicrosoftRedmond, WA
14hHybrid

About The Position

Shape the future of AI-powered search and help billions of users find answers instantly. The Bing GenAI team in Microsoft AI is at the forefront of revolutionizing how people interact with information, building the intelligent systems that power Copilot Search, generative answers, and cutting-edge AI experiences. You'll be working alongside world-class engineers and researchers to push the boundaries of what's possible with large language models and generative AI. As a Senior Software Engineer on this team, you will drive the architecture and development of high-performance services that power generative AI features across Bing and Copilot. You'll lead efforts in prompt engineering and tuning, develop modern C#-based service layers, and leverage your subject-matter expertise to guide workgroup project plans and delivery of new feature areas including web grounding, Search mode, answer cards, and generative UI. This opportunity will allow you to deepen your technical leadership skills, develop expertise in large-scale AI systems architecture, and expand your influence by mentoring other engineers. 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.

Requirements

  • 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#, JavaScript and TypeScript OR equivalent experience.
  • 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.

Nice To Haves

  • 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#, JavaScript and TypeScript 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#, JavaScript and TypeScript OR equivalent experience.
  • 2+ years of experience with C# and .NET development for high-performance, scalable backend services.
  • 2+ years of experience with distributed systems, microservices architecture, or cloud-native development at scale.
  • 2+ years of experience with AI/ML systems, large language models, or prompt engineering in production environments.
  • 2+ years of experience with React or similar modern JavaScript frameworks.

Responsibilities

  • Provides technical leadership related to building large language model-driven Generative Search projects, and prototype, develop and ship these projects.
  • Partners with stakeholders to determine user requirements for a set of scenarios.
  • Leads identification of dependencies and the development of design documents for a product, application, service, or platform.
  • Leads by example and mentors others to produce extensible and maintainable code used across products.
  • Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
  • Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.
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