Data Scientist/AI Engineer*

We are evolving from standard analytics to advanced AI engineering. We are looking for a builder who can navigate the full stack—from engineering backend APIs to designing the front-end interfaces that allow users to interact with complex AI models. You will play a key role in operationalizing our GraphRAG (Retrieval-Augmented Generation) systems, moving us from experimental scripts to robust, interactive applications.

Our Technology Stack AI & Backend Engineering: Python (FastAPI): For building high-performance, asynchronous REST APIs to serve our models and graph data. GraphRAG & OpenAI: Leveraging generic Graph approaches and OpenAI models for advanced relationship mapping and knowledge retrieval. Graph Databases: (e.g., Neo4j, NetworkX, or similar) for storing and traversing complex knowledge structures.

Application Interface: Streamlit: For rapid prototyping and internal testing of algorithms. React: (Key Focus) For building the production interface that allows users to visualize, explore, and query our Knowledge Graphs intuitively. Data Platform: Snowflake: For scalable analytics and structured data storage. Orchestration & DevOps: Airflow: For orchestrating complex data and AI workflows.

GitHub & Jenkins: For CI/CD, version control, and automated deployment.

Your Responsibilities

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.

Your Profile

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.