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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.
Job Responsibility:
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
Shape and evolve full-stack architecture, integrating front-end experiences, back-end services, and AI orchestration layers
Collaborate with design, research, and platform teams to adapt or fine-tune LLMs/SLMs and multimodal models for real-world customer scenarios
Build agentic, tool-using, and multimodal workflows that reason across data and services
Drive engineering excellence, including secure-by-design principles, accessibility compliance, automated testing, and high-quality code craftsmanship
Define and apply evaluation frameworks for AI systems, using telemetry, experimentation, and continuous feedback loops
Drive live-site reliability and operational excellence, participating in On-Call rotations
Requirements:
Bachelor'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 equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
BS/MS in Computer Science or equivalent or relevant industry experience
8+ years of experience with modern web technologies such as .NET / Node / React / Angular, building RESTful APIs
Solid experience in an OO language such as C#, Java, or Python
Experience working with generative AI, large language models, or agent-based systems in production scenarios
Proven track record of designing and delivering complex, scalable systems
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
Cloud & Infrastructure: Skilled in building and operating infrastructure using Azure, AWS, or Google Cloud, and deploying containerized models with Docker, Kubernetes, or similar tools
Solid coding, debugging, and problem-solving skills, with a focus on system-level thinking