Senior AI Product Engineer - Real-Time UI & RAG

Drata

San Francisco (CA)

Sur place

USD 192 000 - 260 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Stock equity
Health & Wellness
401(k) plan
Parental Leave
Growth stipend
Flexible vacation

Résumé du poste

Drata is reimagining compliance as an intelligent, always-on experience—and AI is at the center of that vision. We are seeking a Senior Product Engineer to own the full-stack development of customer-facing AI features, embedded within our product teams.

You'll translate LLMs, agents, and RAG pipelines into polished product experiences—streaming chat, agentic workflows, intelligent summaries, and guided automation—while partnering with Platform, Product, and Design to connect AI capability to

Qualifications

  • 7+ years of software engineering experience
  • 2+ years shipping AI-powered product features
  • Proficiency in React and TypeScript

Responsabilités

  • Build AI-powered product features end-to-end — React/TypeScript UI through Node.js/Python backend
  • Translate AI capabilities — RAG pipelines, agentic workflows, structured reasoning — into natural interactions for compliance practitioners
  • Define API contracts and output schemas; translate AI pipelines into product features
  • Advocate for the user’s perspective in technical decisions and iterate the product layer accordingly
  • Build user-facing feedback loops to capture AI output quality signals
  • Instrument AI features with observability and tests across the full stack
  • Establish reusable patterns to accelerate future AI development
  • Mentor engineers newer to AI product development and participate in design reviews

Connaissances

React
TypeScript
Node.js
Python
API design
AI/ML
Streaming UI
Team collaboration

Outils

LangGraph
LangChain
LLM APIs
WebSockets
SSE

Description du poste

Drata is reimagining compliance as an intelligent, always-on experience—and AI is at the center of that vision. We are seeking a Senior Product Engineer to own the full-stack development of customer-facing AI features, embedded within our product teams.

You'll translate LLMs, agents, and RAG pipelines into polished product experiences—streaming chat, agentic workflows, intelligent summaries, and guided automation—while partnering with Platform, Product, and Design to connect AI capability to

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