About the role#
We are looking for interns to contribute to the Arango Cookbooks repository. You will create practical Python and Jupyter examples that demonstrate key use cases for our platform. The intern cohort will produce 16 recipes in total, with each one undergoing a review process by our engineering team.
What you'll do#
For each of the four recipes you build, you will:
- Select a use case from the list provided by our product team.
- Explain the business value for your chosen use case.
- Write working, documented code.
- Incorporate feedback from Arango engineers.
- Publish your completed work to the Arango Cookbooks repository.
What you'll need#
- You are a student or recent graduate in Computer Science, Data Science, or a related field.
- Proficiency in Python, Jupyter, PostgreSQL, and JSON.
- Experience with LLM and RAG development, including work with embeddings and vector search.
- Comfort using Git and GitHub, along with clear technical writing skills.
- The ability to work effectively in a remote, distributed team.
- Bonus points for experience with graph databases, GraphRAG, LangChain, or LlamaIndex.
Location & details#
- This is a remote role based in the United States.
- The internship is unpaid, with an immediate pathway to convert to a paid position based on a successful performance review at a designated milestone.
- This is a full-time position with a rolling term.
About ArangoDB
ArangoDB is a software development company based in San Francisco. Founded in 2015, the firm provides a data platform for enterprise AI applications. It supports multiple data types including graph, document, and vector data within a single environment. The company serves organizations such as NVIDIA, HPE, and the U.S. Air Force.
How to get in at ArangoDB
Securing an internship at ArangoDB requires speed because early applicants often capture the attention of the team before the candidate pool becomes crowded. Intern Insider sends an instant alert the moment a role matching your target is published, which helps you apply among the first. Applying early is a practical way to ensure your profile is reviewed before the pile grows. You can also improve your chances by reaching out to the right people directly. Intern Insider surfaces the recruiters behind ArangoDB roles so you can ask about the position or request a referral. This direct approach often leads to better response rates than submitting an application into a general queue.
