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
Requirements
- 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?
Want to skip the queue? - Take a few minutes and write a standout email to the co-founders at [email protected] and [email protected]. Copy [email protected]. Show us something you've built that users actually use — a product, a feature, a demo — anything that proves you ship for real people.
Skills Required
- At least 1 year of hands-on experience building and shipping user-facing products
- Programming proficiency in Python and/or JavaScript/Node.js
- Hands-on experience with AI tools and platforms such as Claude, OpenAI, or LangChain
- Experience integrating AI into production user flows
- Ability to build and optimize AI-powered microtools and workflows for direct user use
- SQL proficiency for querying data and informing product decisions
- Strong product sense focused on user journeys, conversion funnels, and outcomes
- Comfort with ambiguity, rapid context-switching, and early-stage startup work
- 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
- Experience with phased rollouts, feature flags, or growth experimentation
What We Do
Raaz builds India's first AI-enabled, doctor-led male reproductive health platform that delivers evidence-based, personalized treatment plans. The company combines clinical oversight with AI-powered user experiences—health assessments, personalized recommendations, intelligent nudges, and conversational flows—to help users address sensitive reproductive issues holistically. Raaz focuses on product and AI systems integration to make care accessible and actionable through web and mobile interfaces at scale.







