Product Engineer (AI)
The TL;DR
We're looking for a Product Engineer who'll own the rollout and evolution of our user-facing app experience. You'll build AI-powered features that users interact with directly — health assessments, personalized recommendations, intelligent nudges, and conversational flows. This is a high-surface-area role: you'll touch frontend, backend, integrations, and AI systems, all in service of making the product feel smarter and more useful to real users.
Must have a bias for shipping. Engineers with strong product instincts; or Product folks with understanding of code — you'll fit right in.
What You'll Do
Design and implement AI-powered user experiences: personalized flows, intelligent recommendations, contextual nudges, and conversational interfaces.
Build and optimize the AI layer behind user-facing features — prompt chains, micro-agents, retrieval systems — ensuring they're fast, reliable, and feel seamless to the end user.
Work across the stack as needed — frontend tweaks, API integrations, backend logic, third-party services — to unblock feature delivery.
Instrument features for analytics, track user behavior, and use data to drive product iteration and improvement.
Collaborate with product, design, and operations to translate user needs and business goals into shippable feature specs.
Manage rollout logistics: phased launches, A/B tests, feature flags, user feedback loops, and edge case handling.
Create reusable components and patterns that accelerate future feature development across the app.
Document implementations, architectural decisions, and learnings to build institutional knowledge.
Requirements
1+ years of hands-on experience building user-facing products — you've shipped features that real people use, not just internal tools or prototypes.
Programming proficiency in Python and/or JavaScript/Node.js, with comfort working across frontend and backend as needed.
Hands-on experience with AI tools and platforms (Claude, OpenAI, LangChain, etc.) and integrating them into production user flows.
Ability to build and optimize AI-powered microtools and workflows that surface directly to users — you care about latency, reliability, and UX, not just model quality.
SQL proficiency for querying data and informing product decisions.
Strong product sense — you think in terms of user journeys, conversion funnels, and outcomes, not just technical specs.
Comfort with ambiguity, fast context-switching, and the pace of an early-stage startup where you'll wear multiple hats.
Nice to Have
- Experience with mobile-first or WhatsApp-based product experiences.
- Familiarity with Shopify, Zoho, or similar e-commerce/CRM ecosystems.
- Experience with evaluation frameworks for LLM outputs in user-facing contexts.
- Prior experience with phased rollouts, feature flagging, or growth experimentation.
Benefits
Why This Role?
Competitive salary
Expense books you read
Lunch at office
Direct access to the leadership team and meaningful ownership from day one
Fast-track professional growth in a high-intensity, in-person startup environment
Want to skip the queue? - Take a few minutes and write a standout email to the co-founders at
akash@raaz.app and
harshit@raaz.app. Copy
sayantan@raaz.app. Show us something you've built that users actually use — a product, a feature, a demo — anything that proves you ship for real people.