Role OverviewThe AI Platform Context Lead will build the context and knowledge layer behind an enterprise AI ecosystem, combining knowledge-graph design, semantic retrieval, RAG, and agent integrations across various platforms.
What You Will Do
The role involves designing, curating, and continuously improving the company context and knowledge graph, reviewing agent and skill outputs, maintaining cross-team visibility, and partnering with subject-matter experts to design and build AI agents and skills.
Why It Might Be a Fit
The ideal candidate will have hands-on experience as a Tech Lead, have designed and owned a knowledge graph or enterprise context/retrieval architecture end to end, and have experience building production-quality AI agents and skills.
Requirements
- 6+ years of experience in development roles
- Hands-on experience as a Tech Lead
- Designed and/or owned a knowledge graph or enterprise context/retrieval architecture end to end
- Built production-quality AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search
- Strong systems-administration background, including identity/access management, configuration, monitoring, and incident response
- Experience working across multiple business functions
- Upper-intermediate English level
Benefits
- Professional growth
- Competitive compensation
- A selection of exciting projects
- Flextime
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