10 Aug
|
Nameless
|
Bengaluru
10 Aug
Nameless
Bengaluru
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
- Own the end -to -end build and rollout of user -facing app features — from scoping and prototyping through launch, monitoring, and iteration.
- 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.