Senior Software Engineer

Microsoft • Redmond, WA

4d

About The Position

Project Sophia is a new generation business application, built ground up from market-disruptive, AI-first product principles. The product has been designed to completely re-define how complex, cross domain business problems are solved. Every interaction, every component and every user experience has been designed leveraging the full power and potential of generative AI and is taking the notion of AI based experiences way beyond the standard AI chat experiences.
Multi-modal concepts, combined with an emphasis of visual appeal and ease of use, is empowering any business user to interact with an infinite, AI Powered Business Research canvas where users can explore and resolve any business question both within and across business domains. Powered by large language models and deep business domain expertise, Project Sophia will empower the user to build out research journeys, automatically suggesting relevant data sources and correlating insights, intelligently visualizing exploration outcomes and suggesting next actions in the research journey. Project Sophia represents the new way of doing business, enabling strategic business decision making in a fraction of the time – filling a gap in the market where no app exists today.
As we advance our product journey, we are innovating and iterating at a rapid pace. To further accelerate our momentum by bringing agentic, AI-powered experiences to the business application space and transforming how people work we continue to expand our investments in generative AI capabilities.
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.

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, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 3+ years of extensive experience with one or more modern web technologies such as .NET / Node / React / Angular, building RESTful APIs.
• 2+ years of solid experience in an OO Language like C# or Java.
• 1+ year experience with large language models (LLMs) and generative AI.
• 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

• 5+ years of experience in software development.
• Excellence in one or more general programming languages including but not limited to: Python, C#; JavaScript; TypeScript.
• Comfortable driving complex server & client architecture across large product teams.
• Hands-on experience with modern LLM evaluation techniques, including LLM-as-a-Judge, agentic evaluations, and RAG assessments.
• A track record of delivering successful, large-scale applied ML projects in an industry setting.
• Experience with MLOps practices, including model versioning, automated testing, monitoring, and CI/CD for machine learning.

Responsibilities

• Design, implement, and ship AI-first product capabilities end-to-end from rapid prototype to production, spanning LLM-powered services, retrieval/grounding pipelines, and intelligent UX experiences that delight users through Sophia’s AI canvas.
• Own architecture and implementation across the full stack integrating front-end experiences, back-end services, and AI orchestration layers that connect models, context, and tools to deliver cohesive, extensible, high-performance systems.
• Collaborate with design, research, and platform teams to adapt or fine-tune LLMs/SLMs and multimodal models for real-world customer scenarios, ensuring outcomes are contextual, transparent, and human-centered.
• Build agentic, tool-using, and multimodal workflows that reason across data and services; optimize for safety, latency, reliability, and cost efficiency.
• Contribute to engineering excellence secure-by-design, accessibility compliance, automated testing, and code craftsmanship across the product lifecycle.
• Instrument and evaluate AI features with telemetry, experimentation, and continuous feedback loops to refine reasoning quality and user experience.
• Drive live-site reliability and operational excellence, participating in On-Call rotations while maintaining a sustainable, high-ownership engineering culture.
• Mentor peers and influence cross-team practices, sharing knowledge across AI, UX, and system-design disciplines.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level