Software Engineer Intern – Arango Cookbooks

Job not on LinkedIn

🔥 1 minute ago

🌐 United States, India – Remote

🇺🇸 United States – Remote 🇮🇳 India – Remote

👨‍🎓 Internship

⚪️ Entry-level

🧑‍💻 Full-stack Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ArangoDB

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🏥 Healthcare

📦 Logistics

💼 Consulting

💰 $27.8M Series B on 2021-10

Healthcare • Logistics • Consulting

ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.

📋 Description

• Build four recipes for the Arango Cookbooks repository • Select use cases from the product team's list and describe their business value • Build working, documented code • Incorporate review feedback from Arango engineers • Publish recipes to the Arango Cookbooks repository • Produce practical Python and Jupyter examples of key Arango use cases

🎯 Requirements

• Student or recent graduate in CS, data science, or a related field • Strong Python, Jupyter, PostgreSQL, and JSON skills • Hands-on LLM and RAG development, including embeddings and vector search • Git/GitHub proficiency • Clear technical writing • Ability to work remotely with a distributed team • Plus: graph databases, GraphRAG, LangChain, or LlamaIndex

🏖️ Benefits

• Potential 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 • Remote work with a distributed team

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