Full Stack Product Engineer - GenAI/ LLM / .NET

As a Full Stack Product Engineer supporting modernization projects, you will work within an Agile squad to analyze legacy capabilities, refine requirements with business and product partners, and design, develop, test, and deploy modern web applications, APIs, and integrations.Daily responsibilities include using AI-assisted development tools to accelerate analysis, coding, testing, documentation, and solution design; collaborating with architects, product owners, UX designers, and fellow engineers; troubleshooting production issues; performing root cause analysis; managing technical debt; and ensuring solutions meet security, performance, scalability, and reliability standards.The role also involves evaluating emerging technologies, prototyping innovative approaches, and helping transform complex legacy workflows into maintainable, cloud-ready solutions that deliver business value.Top 3 Skills:.NETDatabase (Oracle, SQL, Postgres)AI-Native EngineeringNice to Have Skills:PRODUCT ENGINEERProficiency with full stack development: front end (angular), APIs (.Net), database (Oracle/Postgres/Mongo), CI/CD (GitHub), cloud providers (Azure), test automation (Playwright).Proficiency with Generative AI, including LLMs, prompt engineering, agentic workflows, and cloud-based AI platformsAbility to optimize system designs to allow small, safe, incremental releasesDescribe a great candidate that you are looking for and what skills and experience they will have:A great Product Engineer for this position combines full stack engineering expertise with AI-native development practices, translating business needs into intelligent, scalable solutions. They excel at designing and integrating modern applications, APIs, data services, and AI capabilities, working seamlessly across product, business, architecture, and vendor teams.This individual proactively identifies opportunities to simplify processes through automation, AI, and agentic workflows, while maintaining a strong focus on security, performance, reliability, and maintainability. They balance innovation with engineering rigor, reducing technical debt, managing integration complexity, and delivering high-quality solutions that generate measurable business value.