Related skills
javascript python typescript rag llm๐ Description
- Lead end-to-end multi-system AI deployments and manage customer relationships.
- Architect multi-agent solutions; design MCP resource packs for personalized intelligence.
- Own AI workshop program; tailor modules; lead technical sessions; translate outputs to production requirements.
- Own Deployment Kit quality; ensure docs accessible to non-engineering consultants.
- Lead Solutions Enablement Sprints; provide training materials and certification criteria.
- Drive intelligence loop: memos, field findings, RFCs; mentor junior FDEs.
๐ฏ Requirements
- 6โ10+ years production software engineering; 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
- Proven track record leading complex enterprise engagements; security reviews.
- Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimization.
- System architecture spanning enterprise systems, cloud infrastructure, and explainable AI.
- Demonstrated ability to create reusable technical assets; think in platforms, not projects.
- Strong written and verbal communication; architecture docs, runbooks, memos, training materials; Deployment Kits are portfolio.
- Travel 25โ50% and legally eligible to work in the U.S.
๐ Benefits
- Medical/vision and dental coverage for full-time employees.
- 401k match: 50% of your contributions up to 6%.
- Monthly stipend to support your work and productivity.
- Flexible Time Away Program, plus Sick Time Off.
- 12 paid holidays per year; up to 24 weeks parental leave.
- Teleworking options from any registered location in the U.S. (role specific).
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