Read this first
We don’t want your resume first. We want to know what you think of Omnio. Before you apply, download Omnio from the App Store (https://apps.apple.com/app/omnio-by-tedd/id6759357735), use it for a few days, form opinions, and come back with something we haven’t already thought of. If you skip that step, this probably isn’t the role for you, and that’s okay.
About Omnio (https://omnio.life/)
Omnio is a proactive AI wellness app. Instead of waiting for you to open it, Omnio reaches out at the right moments through two distinct AI companions: Tedd, a lifestyle coach who keeps you moving and motivated, and Claudia, an AI therapist built for real, adaptive conversations. We ingest signals from wearables and daily life, detect when something is off, and nudge people toward better habits before things go sideways, not after.
We are early, and the engineering surface is wide open: agent orchestration, a memory layer, wearable data pipelines, and the app itself. You would be one of the first engineers shaping how all of it fits together.
The Role
We are looking for an AI Full Stack Engineer who is comfortable moving across the whole stack: the agent and LLM layer, the backend services behind it, and the product surface users actually touch. You will work directly with the founders and alongside our core engineer to take features from idea to shipped.
This is a build role, not a maintenance role. You will own meaningful pieces end to end, make architecture calls, and ship fast in a space where reliability and trust genuinely matter.
What You Will Do
- Build and orchestrate agentic workflows with LangGraph and MCP tool orchestration that power Tedd and Claudia.
- Develop the proactive engine: ingest wearable signals (HealthKit and Apple Watch), run anomaly detection, and trigger the right nudge at the right time.
- Work on the memory layer that lets our AI companions remember context and stay coherent across conversations.
- Build the therapeutic and coaching conversation layers, including adaptive persona behavior and conversational state machines.
- Own backend services and APIs that tie the AI layer to the app.
- Contribute to the product surface (mobile and web) so features ship complete, not just as backend demos.
- Set up the practical foundations: evaluation, observability, and prompt and agent iteration loops.
What We Are Looking For
- Strong software engineering fundamentals and the ability to work across the stack, from backend services to a working UI.
- Hands-on experience building LLM-powered or agentic applications, ideally with frameworks like LangGraph or LangChain.
- Solid Python, plus comfort in TypeScript or a modern frontend or mobile stack.
- Experience integrating and orchestrating tools, APIs, and external data sources.
- The judgment to build responsibly in a sensitive category (mental health and wellness), where correctness, safety, and tone matter.
- A scrappy, ownership-driven mindset: you can scope, build, and ship without heavy process.
- Product instinct. You notice when something feels off, and you can’t help suggesting how to fix it.
Nice to Have
- Experience with retrieval, vector search, or hybrid RAG (pgvector, BM25, re-ranking).
- Familiarity with wearable or health data (HealthKit, time-series signals, anomaly detection).
- Voice AI or real-time interaction experience.
- Mobile app experience (React Native or native iOS).
- Prior early-stage or founding-engineer experience.
Why Join
- Ground-floor ownership of core systems, with real influence over the architecture.
- Direct line to the founders and fast decisions, no layers to fight through.
- A genuinely novel product (proactive, agentic wellness) rather than another chat wrapper.
- Room to grow into a senior or lead engineering role as we scale.
Before You Apply
Download Omnio by Tedd on iOS (https://apps.apple.com/app/omnio-by-tedd/id6759357735) and actually live with it for a bit. Connect your Apple Watch if you have one, talk to Tedd and Claudia, see when and how the app reaches out to you, and think about how the whole thing works under the hood. Then pick an angle and go deep. A few directions you could take:
- Find what’s broken. Bugs, crashes, rough edges, confusing flows, nudges that land at the wrong time, moments where the AI says something off or forgets context. Bug reports with clear repro steps (device, iOS version, what you did, what happened) earn serious bonus points.
- Reverse-engineer it. How do you think the proactive engine or memory layer is built? Where would it break at scale, and what would you change?
- Bring a strategy. One concrete idea to make the nudges smarter, the companions more useful, or the experience more trustworthy. Tell us how you’d build it, not just what it is.
You don’t need to do all three. One sharp, well-reasoned take beats a long list of shallow ones.
About the Interview
Our interviews are built around Omnio itself. Expect to discuss the app’s functionality and features in depth: how Tedd and Claudia behave, how the proactive nudges work, what you would build next, and how you would architect it. We’ll also dig into the findings or strategy you sent us. Candidates who know the product well will have a big advantage, so use the app properly before you talk to us.
How to Apply
Email gaurav404.gk@gmail.com with:
- What you found or what you’d build: your bug reports, teardown, or strategy from the section above. This is the most important part of your application.
- Your GitHub, portfolio, or examples of AI or full stack work you have shipped.
- A short note on the most interesting agentic or LLM system you have built.
Applications without a product take get a much shorter read. We move quickly and read every application that does the work.
Pay: ₹60,000.00 - ₹150,000.00 per month
Work Location: Remote
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