AI Product Engineer, Evidence

WeHireYou; India; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

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

This role translates the capabilities of LLMs, agents, and RAG pipelines into intuitive, polished product experiences — streaming chat interfaces, agentic workflows, intelligent summaries, and guided automation that makes compliance

Qualifications

• 3+ years of software engineering experience shipping full-stack features in production.
• 1+ years working on AI-powered product features
• Experience designing APIs that integrate with AI services and LLM providers.

Responsibilities

• Build AI-powered product features end-to-end - UI with React/TypeScript and backend in Python/Node.js.
• Translate AI capabilities into customer-facing interactions with compliance-focused UX.
• Collaborate with AI engineers, product managers, and designers to align technical work with product strategy.

Skills

Full-stack development

React

TypeScript

Python

LLM APIs

LangChain

Streaming UI

Product sense

Cross-functional collaboration

Tools

LangGraph

LangChain

OpenAI API

Job description

Our Mission & Values:

At Drata, we help companies earn and keep the trust of their users, customers, partners, and prospects. We’re the proof layer that shows great companies deserve the trust they aim to build.

We live our values every day. Built on Trust means consistency is everything. Act with Integrity by always doing the right thing. Being Customer-Obsessed keeps the people we serve at the center of our work. Competitive Fire drives us to push ourselves harder than anyone else. Diversity brings unique perspectives that lead to better solutions. Automation First ensures we save time and money by making efficiency a priority.

Our Culture & Work Style

At Drata, we're not just building software - we're building a mindset. Everything we do springs from:

• Be a Driver (Owner-Operator Mentality): Own your work. Improve relentlessly. Deliver results.
• Move at Drata Speed (Precision & Velocity): Fast decisions. Quick learning. Immediate impact.
• Stay Mission-Driven (Customer-Obsessed): Challenge assumptions. Deliver value. Stay hungry.

We pair that high-velocity culture with a thoughtful hybrid model because we believe flexibility and collaboration both matter. That's why in the Bay we come together in-office Tuesday through Thursday our high-impact collaboration days where teams align, strategize, and innovate. Mondays and Fridays are flexible, giving you space for focused work, balance, and autonomy.

If you thrive when you're empowered, energized, and working with smart, mission-driven people, you'll feel at home here.

Why Join The Drata Team?

• See the Speed: Watch our CEO, Adam Markowitz, discuss the hyper-growth journey, from $0 to $100M ARR in just four years
• Hear the Voice of the Team: Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available.
• Experience the Impact: See why we are consistently recognized on Fortune's Best Workplaces lists.
• Connect with Us on Socials: LinkedIn - follow us for company updates, employee stories, and career news.

Job Summary:

Drata is reimagining compliance as an intelligent, always-on experience — and AI is at the center of that vision. We are seeking a Senior AI Product Engineer to own the full-stack development of customer-facing AI features, embedded directly within our product teams. This is not a platform or infrastructure role. You'll translate the capabilities of LLMs, agents, and RAG pipelines into intuitive, polished product experiences — streaming chat interfaces, agentic workflows, intelligent summaries, and guided automation that makes compliance feel effortless. You'll partner closely with AI Engineers who own the backend intelligence and Product and Design who shape the vision, but you are the engineer who closes the loop between AI capability and the customer experience.

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; translate RAG pipelines, agentic workflows, and structured reasoning into interactions that feel natural to compliance practitioners
• 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:

• Experience: 3+ years of software engineering experience with a proven track record of shipping full-stack features in production; 1+ years working on AI-powered product features
• Frontend: Strong proficiency in React and TypeScript; experience building responsive, interactive UIs that handle async, streaming, and real-time data gracefully
• Backend: Solid Python and Node.js and Typescript skills; experience designing and consuming APIs that integrate with LLM providers, orchestration frameworks, or AI services
• AI Fluency: 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 - not just calling an endpoint, but knowing what makes a prompt reliable in production
• Familiarity with agent frameworks (LangGraph, LangChain, custom runtimes) and how to build product surfaces on top of multi-step agentic workflows
• Streaming & Real-Time UI: Experience implementing streaming response patterns (SSE, WebSockets, chunked HTTP) and building UIs that handle progressive, partial, and uncertain outputs
• Product Sense: Strong intuition for user experience; you ask "does this feel right to the user" as often as "does this work technically" - and you're right about both
• Collaboration: 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...