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ArangoDB

Software Engineer Intern – Arango Cookbooks

ArangoDB

. Build four recipes for the Arango Cookbooks repository .

Posted 11/1/2026internshipRemote • United States, IndiaEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong capabilities in Python programming, Jupyter notebook development, and technical writing, while effectively collaborating with a distributed team to produce high-quality, documented code for Arango use cases.

Highest-signal resume keywords
Python ProgrammingJupyter DevelopmentPostgreSQL ProficiencyGit/GitHub ProficiencyTechnical Writing

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonJupyterPostgreSQLJSONLLM DevelopmentRAG DevelopmentEmbeddingsVector SearchGraph DatabasesGraphRAG
Soft Skills
Clear CommunicationRemote Collaboration
Tools & Technologies
GitGitHubLangChainLlamaIndex
Industry Keywords
Data ScienceComputer ScienceUse Case AnalysisTechnical Documentation

Tech Stack

Tools & technologies
PostgresPython

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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