Back-End Engineer (Generative AI)

About Neo4j

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.

At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.

Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it’s accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.

Our Vision

At Neo4j, we have always strived to help the world make sense of data.

As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.

About The Role

Join Neo4j's innovative Generative AI (GenAI) team, where we are pioneering advanced AI and machine learning solutions. As a Back-End Engineer, you will be instrumental in developing robust, scalable server-side systems that power our GenAI product portfolio. You will contribute to both existing and new products as we expand our suite of GenAI offerings.

Key Responsibilities

• Design, develop, and maintain high-performance back-end systems using Python to support GenAI applications.
• Stay current with advancements in GenAI technologies and back-end development trends to ensure optimal system architecture.
• Collaborate with cross-functional teams to propose innovative solutions that enhance our GenAI products and services.
• Support internal teams in integrating GenAI capabilities into their systems, ensuring seamless functionality.
  
  

Minimum Qualifications

• 5+ years of professional experience building back-end systems with Python, utilizing frameworks such as FastAPI, Flask, or Django.
• Experience with building applications using Agent Frameworks or libraries like LangGraph, AG2, Crew or similar.
• Proven expertise in developing scalable, efficient back-end infrastructure for AI-driven or GenAI applications.
• Strong proficiency in back-end development best practices, including CI/CD pipelines, version control systems, etc.