Application Framework, Application Programming Interface (API), Artificial Intelligence (AI), Cloud Applications, Coaching, Code Reviews, Continuous Deployment/Delivery, Continuous Integration, Customer Experience, DevOps, Distributed Computing, Engineering, Leadership, Mentoring, Microsoft .NET, Microsoft C# (C Sharp), Multiplatform/Cross-Platform, Operational Support, Product Programs, Programming Tools, Quality Assurance, Software Development, Technical Leadership, User Interface/Experience (UI/UX), Value Engineering
Position Summary
This Senior AI Engineer is a senior technical contributor responsible for delivering scalable, maintainable, and reliable software solutions while helping guide technical implementation across the team. This role combines hands-on engineering with mentorship, technical leadership, and collaboration across product and platform initiatives.
What Youll Do
- Lead implementation of complex software systems and services
- Influence architecture and modernization initiatives
- Mentor engineers through code reviews and technical coaching
- Support operational excellence and production reliability
- Partner closely with Product, QA, and DevOps teams
Required Qualifications
- 5+ years of software engineering experience
- Deep knowledge of C#, .NET, .NET Core and modern application frameworks
- Experience with React.js, TypeScript/JavaScript, SQL, and APIs
- Strong backend and frontend engineering experience
- Experience with cloud-native application development
- Experience with AI development tools and methodologies
- Strong understanding of APIs, distributed systems, and CI/CD
- Ability to independently lead complex technical initiatives
Why This Role Is Interesting
We value engineers who enjoy building, improving, and simplifying systems. This role provides the opportunity to work across product, platform, and engineering initiatives that directly influence customer experience and business outcomes.
What Success Looks Like
Success in this role is measured through technical contribution, collaboration, engineering quality, operational reliability, and the ability to positively influence team effectiveness and software delivery outcomes.