Own the GRACE application layer end-to-end — Chainlit lifecycle hooks, chat profiles, session management, streaming configuration, data persistence, and human feedback integration
Build and extend custom Chainlit components in React/TypeScript
Design, build, and maintain Python backend services and API integrations
Own the Entra ID OAuth 2.0/OIDC authentication integration within Chainlit
Design and maintain secure file handling pipelines of all types
Build and maintain multi-LLM routing logic across OpenAI GPT, Anthropic Claude, and Google Gemini
Collaborate with the GRACE product team and ARPA-H stakeholders to translate user feedback into shipped improvements
Lead code reviews, set engineering standards, and mentor teammates

Requirements

Bachelor's degree in computer science or data science
7+ years of non-internship professional software development experience
7+ years of Python as a primary programming language in production environments
7+ years of leading design or architecture (design patterns, reliability and scaling)
Experience building and shipping production LLM/AI chat applications
Experience with Chainlit or a comparable Python-first conversational AI framework
Experience building and owning REST APIs and backend service integrations end-to-end
Experience with OAuth 2.0 / OIDC authentication flows in production systems
Experience with cloud infrastructure (Azure preferred) and containerization (Docker)
Experience with modern JavaScript/TypeScript tooling and frameworks
Experience working with relational databases (eg PostgreSQL)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonReactTypeScriptREST APIsOAuth 2.0OIDCDockerrelational databasesLLMAI chat applications

Soft Skills

leadershipmentoringcollaborationcode reviewsengineering standards

Certifications

Bachelor's degree in computer scienceBachelor's degree in data science