# Senior AI Product Engineer 2, Audit

**Company:** [Drata](https://hotfix.jobs/companies/drata)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Experience:** 7+ years
**Skills:** React, TypeScript, Node.js, Python, LLM APIs, RAG, LangChain, LangGraph, Prompt Engineering, structured outputs, streaming ui, WebSockets, sse
**Posted:** 2026-05-26

> Build and ship end-to-end AI-powered product features (React/TypeScript frontend to Node.js/Python backend) that translate LLM, RAG, and agentic capabilities into intuitive, streaming user experiences for compliance users. Requires 7+ years full-stack engineering and 2+ years on AI product features, with strong product sense and collaboration with AI, PM, and design teams.

## Job Description

## What you'll do
- Build AI-powered product features end-to-end — React/TypeScript UI through Node.js/Python backend — with real-time streaming, graceful degradation, and human-in-the-loop interaction patterns.
- Translate AI capabilities — RAG pipelines, agentic workflows, structured reasoning — into interactions that feel natural to compliance practitioners.
- Partner with AI Engineers to define API contracts and output schemas.
- Advocate for the user's perspective in technical decisions; surface where model outputs break down in practice and iterate the product layer accordingly.
- Build user-facing feedback loops that capture signal on AI output quality and make it actionable for the broader AI team.
- Instrument AI features with product-level observability — latency, engagement, task completion, drop-off — alongside integration and end-to-end tests that validate behavior across the full stack.
- Establish reusable patterns (streaming hooks, feedback components, AI state management) that accelerate future AI feature development.
- Mentor engineers newer to AI product development; participate in design reviews with both engineering depth and product instinct.

## What you'll bring
- 7+ years of software engineering experience with a proven track record of shipping full-stack features in production; 2+ years working on AI-powered product features.
- Strong proficiency in React and TypeScript; experience building responsive, interactive UIs that handle async, streaming, and real-time data gracefully.
- Solid Python, Node.js, and TypeScript skills; experience designing and consuming APIs that integrate with LLM providers, orchestration frameworks, or AI services.
- Hands-on experience building with LLM APIs (OpenAI, Anthropic, etc.); practical understanding of prompt engineering, context management, RAG, Quality/Evals (Braintrust or others), and structured outputs.
- Familiarity with agent frameworks (LangGraph, LangChain, custom runtimes) and how to build product surfaces on top of multi-step agentic workflows.
- Experience implementing streaming response patterns (SSE, WebSockets, chunked HTTP) and building UIs that handle progressive, partial, and uncertain outputs.
- Strong intuition for user experience; you ask "does this feel right to the user" as often as "does this work technically".
- Track record of working closely with AI/ML engineers, product managers, and designers; comfortable operating in a cross-functional product team where the requirements are often ambiguous and the iteration is fast.

## Bonus Qualifications
- Experience in compliance, security, GRC, or other document-heavy enterprise domains.
- Experience with MCP (Model Context Protocol) or similar tool-use interfaces for AI agents.
- Exposure to RAG system design — not as an owner, but as a consumer who has debugged retrieval quality issues from the product layer.
- Experience building feedback and annotation tooling that captures user signal on AI output quality.

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