Posted today · be early
Software Engineer Intern - Arango Cookbooks
ArangoDB
India, United StatesremotePosted today
Skill Required
Software-EngineerSoftware-DeveloperMachine-Learning-EngineerData-EngineerSoftware EngineerSoftware Developerrelated fieldPostgreSQLLangChainJupyterPythonGitGenerative AIRAGAWSandConversion OptimizationAIInternship
Key highlights
- Compensation: unpaid internship with pathway to paid position after successful performance review.
- Experience level: student or recent grad in CS, data science, or related field.
- Key benefit: contributing to cutting-edge AI and data infrastructure.
- Notable requirement: strong Python, Jupyter, PostgreSQL, and JSON.
- Location: 4 interns (2 US, 2 India).
- Cohort output: 16 recipes published total.
Role overview
This internship role asks a cohort of four interns to build four practical Python and Jupyter recipes each for the Arango Cookbooks repository, covering key Arango use cases. The cohort will publish 16 recipes in total, each reviewed by Arango engineers, while working remotely with a distributed team under the Director of Product Management.
Responsibilities
- Build four recipes for the Arango Cookbooks repo: practical Python and Jupyter examples of key Arango use cases.
- 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.
- The intern cohort will publish 16 in total, each reviewed by Arango engineers.
Requirements
- 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.
Nice to have
- Plus: graph databases, GraphRAG, LangChain or LlamaIndex.
Benefits
- 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.
- Contributing to cutting-edge AI and data infrastructure.
- Collaborating with experienced engineers, marketers, and product leaders.
- Helping shape how enterprises build AI-powered applications.
Additional details
- Job title listed: 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.
- Arango mission: AI is only as powerful as the data foundation; help organizations build AI systems that can reason, decide and act based on unified, current, and trusted business context at scale; helping define a new category of infrastructure: the contextual data layer for AI.
- If you're excited about the intersection of AI, data, and social media, we’d love to hear from you.
- Originally posted on Himalayas.
