4 часа назад
Developer Relations (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Developer Relations (AI) (GraphRAG/LLM applications): Building reference applications, quickstarts, sample repositories, benchmarks, and technical content that help developers create production GraphRAG applications with an accent on retrieval quality, knowledge graphs, and developer tooling. Focus on building and debugging LLM applications, evaluating GraphRAG against RAG alternatives, teaching through talks and workshops, and turning developer feedback into product roadmap improvements.
Location: Remote - Bay Area location
Company
provides a unified multimodel contextual data platform for AI agents, assistants, and enterprise applications, combining graph, vector, document, key-value, and search capabilities.
What you will do
- Build reference applications, quickstarts, and sample repositories for end-to-end GraphRAG, retrieval, and AI agent use cases.
- Run evaluation harnesses and publish transparent benchmarks comparing GraphRAG, VectorRAG, hybrid retrieval, and vanilla RAG.
- Create technical posts, talks, workshops, and live builds for AI engineers and developer communities.
- Engage with GraphRAG, knowledge graph, AI engineering, framework, and conference communities online and in person.
- Collect specific, prioritized developer feedback and use it to influence the product roadmap.
Requirements
- Engineering experience building and debugging real, non-trivial applications.
- Production experience with LLM applications and retrieval, including RAG pipelines, embeddings, chunking strategies, and evaluation.
- 3+ years of Python experience and proficiency in at least one of TypeScript, JavaScript, Go, or Java.
- 2+ years of experience with Docker and Kubernetes deployments.
- Published technical content, plus experience giving talks, running workshops, or live-coding.
Nice to have
- 2+ years of experience with graph databases, knowledge graphs, or GraphRAG.
- Familiarity with LangChain, LlamaIndex, MCP, or similar orchestration frameworks.
- Experience with evaluation harnesses, LLM-as-judge approaches, or building enterprise AI agents at scale.
- Experience as an early or founding developer relations hire at an infrastructure or developer tools company.
Culture & Benefits
- Work on AI and data infrastructure for contextual enterprise applications.
- Collaborate with engineers, marketers, and product leaders.
- Help define a new contextual data layer category for AI.
- Report directly to the Chief Product Officer, with developer feedback connected directly to product development.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →