Role overview
What You’ll Do
Your Profile
Our Offer
What you'll work on
- Engineer AI Backends: Design and deploy scalable FastAPI endpoints that handle complex queries and serve data from our Knowledge Graphs to the frontend.
- Build Interactive Graph Interfaces: Take proven concepts from Streamlit and re-engineer them into responsive React applications. Your goal is to build UIs that make navigating complex graph data simple and actionable for business users.
- Optimize GraphRAG Pipelines: Refine our RAG strategies to ensure our AI retrieves the most relevant contexts from our graph structures.
- Productionize Prototypes: Bridge the gap between data science and software engineering by rewriting experimental Python code into production-grade, maintainable software.
- CI/CD & Deployment: Use Jenkins and GitHub to maintain a robust deployment pipeline for both the backend APIs and the frontend applications.
What we're looking for
- Someone with a strong data/backend foundation (Python, API design) who is not afraid of the frontend.
- Experience or strong interest in React—specifically in how to visualize data (charts, graphs, networks).
- A "Product Engineering" mindset: You care about how the AI output is actually consumed by the user.
- You are currently enrolled in a university degree program, ideally with a technical focus
Tags & focus areas
Used for matching and alerts on DevFound Parttime Ai Ai Engineer Data Science