About Arango:
Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale.
The Arango Contextual Data Platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture delivered out of the box. By combining graph, vector, document, key-value, and search capabilities in a single platform, Arango eliminates the complex stacks many organizations build to operationalize enterprise AI.
Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens, Transient.AI, Matpriskollen, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and G2.
Location: 4 Interns (2 Interns in the US | 2 Interns in India)
Manager: Director of Product Management
Compensation
The internship begins as an unpaid program, offering an immediate pathway to convert to a paid position based on a successful performance review at the designated milestone
About the Role:
Build four recipes for the Arango Cookbooks repo: practical Python and Jupyter examples of key Arango use cases. The intern cohort will publish 16 in total, each reviewed by Arango engineers.
What You’ll Do:
For each recipe:
- Pick a use case from the product team's list and describe its business value
- Build working, documented code
- Incorporate review feedback from Arango engineers
- Publish it to the Arango Cookbooks repo
- Student or recent grad in CS, data science, or a related field
- Strong Python, Jupyter, PostgreSQL, and JSON
- Hands-on LLM and RAG development (embeddings, vector search)
- Git/GitHub and clear technical writing
- Works well remotely with a distributed team
- Plus: graph databases, GraphRAG, LangChain or LlamaIndex
At Arango, we believe that AI is only as powerful as the data foundation. Our mission is to help organizations build AI systems that can reason, decide and act based on unified, current, and trusted business context at scale. We are helping define a new category of infrastructure: the contextual data layer for AI.
Working at Arango means:
- Contributing to cutting-edge AI and data infrastructure
- Collaborating with experienced engineers, marketers, and product leaders
- Helping shape how enterprises build AI-powered applications
If you're excited about the intersection of AI, data, and social media, we’d love to hear from you.
Skills Required
- Student or recent graduate in computer science, data science, or a related field
- Strong Python skills
- Strong Jupyter skills
- Strong PostgreSQL skills
- Strong JSON skills
- Hands-on LLM and RAG development experience
- Experience with embeddings and vector search
- Git and GitHub experience
- Clear technical writing skills
- Ability to work effectively remotely with a distributed team
- Experience with graph databases
- Experience with GraphRAG
- Experience with LangChain or LlamaIndex
What We Do
ArangoDB is the most scalable open-source graph database, with more than 12,000 stargazers on GitHub. Building on the concept of ‘graph and beyond’, ArangoDB combines the analytical power of graphs with JSON documents, a key-value store, and a full-text search engine, enabling developers to access and combine all of these data models with a single, elegant, declarative query language. It serves as the scalable backbone for graph analytics and complex data architectures across many industries. Founded in 2015, ArangoDB Inc. is a privately-held company backed by Bow Capital, Iris Capital, New Forge, and Target Partners. It is headquartered in San Francisco and Cologne, Germany, with offices and employees around the world. Learn more at www.arangodb.com.
