Sr. AI/Fullstack Engineer

We are seeking a versatile AI Full-Stack Engineer to build and enhance the front-end experience for agentic AI applications in our Quickservice Restaurant business unit. This is not a traditional dashboard role-you'll create conversational, interactive interfaces powered by autonomous agents that reason, plan, and act. ~70-80% of your time will focus on front-end development (Angular), with the rest involving troubleshooting back-end integrations, agent orchestration, and generative/conversational AI behaviors.

Develop responsive, high-performance Angular front-ends for agentic/conversational AI systems, enabling natural user interactions with AI agents.

Collaborate on building intuitive interfaces that surface agent outputs, workflows, and decisions in real-time.

Troubleshoot performance issues (e.g., slow conversations) by digging into agent orchestration, back-end services (.NET/C#), and AI components.

Experiment with and apply generative AI tools/techniques (e.g., prototyping with live data, dynamic visuals, prompt engineering) to accelerate development.

Contribute to end-to-end system understanding as a jack-of-all-trades-able to stretch into back-end diagnostics and agentic concepts without being a pure specialist.

Stay current with agentic AI trends to ensure long-term relevance in evolving AI-driven engineering.

Strong proficiency in Angular (modern versions) for complex, interactive web applications.

Solid full-stack mindset: Comfortable with front-end primacy but able to investigate .NET/C# back-ends for troubleshooting.

Familiarity with generative/conversational AI concepts (e.g., agentic workflows, orchestration, RAG, tool-calling agents)-hands-on experimentation or personal projects highly valued (no expectation of extensive production agent build-outs).

Experience using AI tools (e.g., Claude, Gemini, or similar) to prototype or enhance UIs with live data/integration.

Curiosity and self-learning drive; ability to quickly ramp up on agentic AI patterns.

Bachelor's in CS or related field preferred; equivalent experience accepted. Exposure to agent frameworks (e.g., LangChain, AutoGen, or custom orchestrators).

Understanding of performance optimization in AI-powered apps.