Role OverviewAgileEngine is looking for an AI Platform Context Lead to build the context and knowledge layer behind an enterprise AI ecosystem. The role combines knowledge-graph design, semantic retrieval, RAG, and agent integrations across various platforms. The successful candidate will improve answer quality through evaluation, governance, and reusable self-service patterns.
What You Will Do
Design, curate, and continuously improve the company context and knowledge graph, manage schema, coverage, freshness, and retrieval quality, and review agent and skill outputs to catch cases where a result missed user intent.
Why It Might Be a Fit
The ideal candidate will have experience building production-quality AI agents, skills, or integrations, and can distinguish 'wrong retrieval' from 'right retrieval, missing context' in an eval trace. They will also have strong systems-administration background, including identity/access management, configuration, monitoring, and incident response.
Requirements
- Authorized to work for ANY employer in the US
- 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
- Experience building 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
- Upper-intermediate English level
Benefits
- Professional growth
- Competitive compensation
- A selection of exciting projects
- Flextime
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