Enterprise AI Product Engineer
AI summary of the role
RingCentral's Enterprise AI organization seeks a hybrid AI Product Engineer who combines product instinct, architecture depth, and hands-on engineering skill.
What you’ll do
- Architect AI solutions end-to-end: design RAG pipelines, agentic workflows, MCP integrations, and prompt/eval frameworks.
- Build working prototypes, proof-of-concepts, and production-grade AI features including LLM orchestrations, API integrations, and chatbot/copilot experiences.
- Own build-vs-buy decisions for third-party AI tools (Copilot, Gemini, Claude) vs. custom in-house builds.
- Drive product direction: maintain AI roadmap, prioritize backlog, and define measurable success criteria with business units.
What you’ll bring
- 3+ years hands-on experience building or integrating AI-powered solutions in an enterprise setting (RAG, LLM applications, AI agents).
- Demonstrated ability to architect solutions from scratch including data flows, integration patterns, and system components.
- Proficiency in Python (JavaScript/TypeScript a plus).
- Solid grasp of LLMs, embeddings, vector databases, prompt engineering, retrieval-augmented generation, and agent frameworks.
Technologies
RAG · LLM · agentic workflows · MCP · Python · vector databases · REST · GraphQL · OAuth 2.0 · PostgreSQL · MongoDB · Redis
About RingCentral
Cloud communications platform for business phone, messaging, meetings, contact center, and AI voice agents, sold to SMBs/enterprises through direct and carrier channels.
Public · 5000+ people
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