Full-stack Engineer, AI Applications

As a Full-stack Engineer on AI Applications within the Enterprise track of AIDRC, you will design, build, and ship end-to-end AI-powered applications, from polished user interfaces down to the backend services that orchestrate Falcon and other foundation models. You will own the user experience and engineering quality of products that internal teams, enterprise clients, and government partners rely on every day. This is a hands-on, product-minded role for engineers who love translating cutting-edge AI capabilities into clean, intuitive software that people actually use.

Job responsibilities

• Design and implement end-to-end AI applications, building responsive frontends and robust backend services that surface Falcon and other foundation models to real users.
• Create intuitive, production-grade user interfaces for AI products such as chat experiences, document workflows, analytics dashboards, and admin tools that make complex AI capabilities feel simple.
• Integrate LLM and agentic capabilities into application flows, including streaming responses, function and tool calling, citation rendering, and human-in-the-loop interactions.
• Build and maintain APIs, orchestration layers, and data flows that connect AI services to enterprise systems, authentication providers, and external integrations.
• Own non-functional requirements across the full stack, including performance, accessibility, error handling, and observability.
• Collaborate closely with AI engineers, product owners, designers, and client-facing teams to iterate quickly from prototype to production.
• Establish and evolve frontend and full-stack engineering standards across the center, including reusable component libraries, design systems, and testing practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.
• 2 to 8 years of hands-on experience building and shipping production full-stack web applications.
• Strong proficiency in modern frontend development: React (or equivalent), TypeScript, modern CSS, state management, and component-based architecture.
• Strong backend skills in Python (FastAPI, Flask, or similar), including REST API design, async patterns, and integration with databases and external services.
• Practical experience building AI-powered or LLM-powered applications, including streaming, tool use, and conversational UX patterns.
• Solid understanding of authentication, authorization, and enterprise integration patterns (OAuth/OIDC, SSO, role-based access control).
• Comfort with containerized deployment (Docker, Kubernetes), CI/CD pipelines, and modern DevOps workflows.
• Strong product sensibility and the ability to translate ambiguous requirements into shipped, polished features.