Description review
Software Engineer Intern - Arango Cookbooks
ArangoDB · India, United States · back to the listing
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56/100
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Title ↔ description
56/100
needs work
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Unclear
no confident match
What this role officially is
technical communicator — ESCO, the EU occupation classification
Technical communicators prepare clear, concise and professional communication from product developers to users of the products such as online help, user manuals, white papers, specifications and industrial videos. For this, they analyse products, legal requirements, markets, customers and users. They develop information and media concepts, standards, structures and software tool support. They plan the content creation and media production processes, develop written, graphical, video or other contents, generate media output, release their information products and receive feedback from the users.
Also known as: technical editor, technical documentation author, senior technical communicator, technical communicators, technical content developer, user experience designer
How others title the same work
Large employers
- Technical Author (multiple roles and seniority levels) Canonical Ltd.
- Manager I, Documentation Datadog
What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
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, andG2.
Location: 4 Interns (2 Interns in the US | 2 Interns in India)
Manager: Director of Product Management
Compensation
The internship begins as an unpaid1 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.
Originally posted on Himalayas
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, andG2.
Location: 4 Interns (2 Interns in the US | 2 Interns in India)
Manager: Director of Product Management
Compensation
The internship begins as an unpaid1 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.
Originally posted on Himalayas