Arango
Developer Relations
San Francisco, California
Sponsorship not specifiedDetected 22 hours ago
JavaScriptTypeScriptPythonGoVector DatabasesAWSDockerKubernetesLLMsRAG
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Step into Arango's first dedicated developer advocacy role, reporting directly to the Chief Product Officer.
- AutoRAG dynamically selects the optimal retrieval method (GraphRAG, VectorRAG, or hybrid) for every query.
- Both integrate seamlessly with LangChain, LlamaIndex, and MCP to amplify, not replace, existing tools.
Responsibilities
- Build things developers want to copy.
- Create reference applications, quickstarts, and sample repositories that solve real, end-to-end problems-from multi-hop question answering over document corpora, to agents that traverse entity relationships where vector search falls short, to integrations developers can easily adopt in their projects.
- Teach in public through technical posts, talks, workshops, and live builds.
Requirements
- Skills and Experience Required
- You have hands-on, production experience with LLM applications and retrieval: RAG pipelines, embeddings, chunking strategies, and evaluation.
- Our foundation powers two breakthroughs: AutoGraph instantly builds knowledge graphs from enterprise documents, no manual ontology design required.
- You are an engineer.
Nice to have
- Strong Python skills, plus proficiency in at least one of TypeScript/JavaScript, Go, or Java.
- You've written technical content that developers actually finished, and you can point us to examples.
- You're comfortable with Docker and Kubernetes deployments.
- Experience with graph databases, knowledge graphs, or GraphRAG.
- If you've built a knowledge graph by hand, you know why AutoGraph matters.
- Familiarity with LangChain, LlamaIndex, MCP, or similar orchestration frameworks.
- You've run evaluation harnesses in real-world scenarios and have informed opinions about LLM-as-judge approaches.
- Prior experience as an early or founding developer relations hire at an infrastructure or developer tools company.
Skills
- Developer Relations
- About ArangoDB
- Arango makes your business data AI-ready, giving agents, apps, and assistants trusted context at scale.
- Every answer is traceable.
- Every decision is governed.
- No more stitching together a vector store, a graph database, a search index, and a governance layer added as an afterthought.
- Arango's Contextual Data Platform has it all built in, not bolted on.
- Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program.
- Stop building Frankenstacks.
- Start building with Arango.
- Learn more at arango.ai
Company info
- At Arango, we believe that AI is only as powerful as the data foundation.
- We are helping define a new category of infrastructure: the contextual data layer for AI.
This listing is sourced directly from Arango's careers page and normalized into a canonical job model.