Back-End Engineer, Neo4j
Generative AI
Graph intelligence platform
Be an early applicant
Graph intelligence platform
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To help the world make sense of data.
Role
Who you are
- 5+ years of professional experience building back-end systems with Python, utilizing frameworks such as FastAPI, or similar with Go or TypeScript
- Experience with building applications using Agent Frameworks or libraries like PydanticAI, LangGraph, AG2, CrewAI, AI-SDK 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
- Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application
What the job involves
- 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
- Design, develop, and maintain high-performance back-end systems using Python/Go/Typescript 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
Salary benchmarks
Our take
Innovation in database models has developed gradually over the past decade, from scale-out SQL, to key-value stores. Every now and again, something comes along to change the game, and such is the case with Neo4j.
Offered as either a self-hosted database or cloud service, Neo4j is a graph database development platform that focuses on the connections between individual data entities. This offers insights into how systems, people, locations, and seemingly unrelated data points are related so that users can address complex data questions, such as business recommendations, AI, fraud detection, and more. The company is seen as a leader in graph technology with unlimited scaling, which was demonstrated when, in 2021, it produced a record-breaking graph database with over a trillion relationships.
Graph-based data models are now crucial components for AI and machine learning applications, and Neo4j has achieved an impressive number of funding rounds and amassed hundreds of enterprise customers using its product. These include Airbnb, eBay, Lyft, and NASA, the latter of which used graph database technology from Neo4j during the development of the Orion spacecraft.
Freddie
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Nov 2024
$50m
LATE VC
Nov 2021
$66m
SERIES F
Total funding: $634m
Company benefits
- Competitive health and financial programs tailored to each region
- Work-life balance initiatives
- Cross-functional collaboration opportunities
- Employee Resource Groups (ERGs)
- Mentorship programs
Company HQ
Hayward Park, San Mateo, CA
Leadership
Emil Eifrem
(Co-Founder & CEO)Having studied at Linköping University, they spent over 3 years as Chief Architect at Windh AB, before working as CTO for almost 5 years. They left this position in January 2007 to found Neo4j, where have worked since as CEO.
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