Role OverviewAgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. We are looking for an AI Platform Context Lead to build the context and knowledge layer behind an enterprise AI ecosystem.
What You Will Do
- Design, curate, and continuously improve the company context and knowledge graph that grounds search and agent responses, managing schema, coverage, freshness, and retrieval quality as an ongoing responsibility rather than a one-time build, with a stated accuracy and efficiency baseline that improves over time.
Why It Might Be a Fit
You will improve answer quality through evaluation, governance, and reusable self-service patterns. You will also partner with subject-matter experts to design, build, test, and maintain AI agents, skills, prompts, and workflows using MCP, function calling, and comparable frameworks.
Requirements
- Authorized to work for ANY employer in the US
- 6+ years of experience in development roles, with 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
- Experience working across multiple business functions, with the ability to turn 'what should we ask before we start' into a checklist others can use unsupervised
- Strong troubleshooting, technical writing, and stakeholder-communication skills, with the ability to lead through influence without direct authority
- Upper-intermediate English level
Benefits
- Professional growth
- Competitive compensation
- A selection of exciting projects
- Flextime
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