Software Engineer Intern - Arango Cookbooks
Summary
Unpaid software engineering internship building Python and Jupyter 'cookbook' recipes that demonstrate Arango's multimodel contextual data platform use cases (LLM, RAG, graph). Interns work remotely with Arango engineers, publishing reviewed examples; roles are split between the US and India, with conversion to paid after a performance review.
Compliance Operations & Process Excellence Program Lead
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,, 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, 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
Who you are
- 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
What Makes Arango Special?
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.
