7 часов назад
Senior AI Engineer (MCP)
200 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (MCP): Building the integration layer that exposes TwelveLabs' multimodal video and image understanding capabilities to external developers and AI agents with an accent on MCP server design, agent orchestration, authentication, and enterprise readiness. Focus on designing trustworthy agent-facing interfaces, implementing OAuth/RBAC and multi-tenant isolation, and operating usage tracking, rate limiting, and reliability infrastructure at enterprise scale.
Location: San Francisco; onsite or hybrid. No fully remote option.
Salary: $200,000–$240,000 annual base salary plus equity
Company
builds multimodal AI models that understand video across sight, sound, and motion for production-scale workloads in media, entertainment, sports, security, and government.
What you will do
- Own the MCP server and agent-to-agent interfaces for Jockey, ' multimodal agent for video and image understanding.
- Design how AI agents and external developers discover, connect to, and invoke retrieval and reasoning capabilities.
- Build authentication and access infrastructure, including OAuth, RBAC, and multi-tenant isolation.
- Develop enterprise-readiness features such as per-API-key usage tracking, rate limiting, and reliability controls.
- Partner directly with the research team to turn video and image understanding capabilities into durable product surfaces.
Requirements
- Production experience shipping agentic or LLM-powered systems with real users and failure modes.
- Understanding of retrieval, reasoning, and agent orchestration as an integrated system.
- End-to-end ownership of developer-facing or external APIs, including contracts, versioning, and developer experience.
- Production ownership of authentication and authorization using OAuth, OIDC, RBAC, or multi-tenant isolation.
- Ability to make tradeoffs across the full platform surface and build enterprise-ready systems.
- Experience working in a startup, hypergrowth company, or AI-first team with ambiguity and limited process support.
Nice to have
- Experience with MCP, A2A protocols, or the broader agent ecosystem.
- Experience at a technically excellent hypergrowth startup.
Culture & Benefits
- Open and inclusive culture and work environment.
- Collaborative, mission-driven work on AI technology.
- Full health, dental, and vision benefits.
- Flexible paid time off and parental leave; the office is closed during the week of Christmas and New Year's.
- Visa support where applicable.
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