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AI Tech Lead (Full Stack + Data Science)

PetYosabangalore, karnataka, in

8 days ago

Job description

Job Description

PetYosa is building India’s first AI-powered Pet Super App + Smart Collar ecosystem (FitYosa) — a platform that integrates pet health, vet services, grooming, pet boarding, e-commerce, and community into one intelligent ecosystem.

Our vision : To be the world’s most intelligent and comprehensive pet ecosystem, seamlessly integrating AI-driven solutions to enhance pet parenting, health, and well-being.

We’re looking for a hands-on AI enthusiast & full-stack leader who can own our tech roadmap, lead a passionate engineering team, and build the future of pet tech with us.

Requirements

As AI Tech Lead, you will :

Lead and Scale the Tech Team : Manage engineers across backend, frontend, AI / ML, and infra, ensuring team performance and delivery
Architect PetAI (our Vertical LLM) : Build and optimize AI pipelines — RAG, multi-agent orchestration, fine-tuning, and contextual AI assistants.
Integrate Hardware + AI : Connect FitYosa’s smart collar telemetry (GPS, accelerometer, biometrics) into real-time health insights.
Build Full-Stack Systems : From React / NextJS + Tailwind UIs to Python / Node.js backends, ensure the app and AI features scale to millions of users.
Data Science + Product AI : Run predictive health analytics, anomaly detection, personalization, and build pipelines that turn data into actionable insights.
Drive Smart Work Culture : Evangelize AI tools (Copilot, ChatGPT, automation scripts, Lovable, etc.) so the team works smarter, not harder.
Collaborate with Founders : Translate business vision into scalable, cost-efficient, AI-driven systems.

What We’re Looking For (Must-Have Skills)

Core Tech

Frontend : React / NextJS, TailwindCSS, TensorFlow.js (in-browser ML).

Backend : Python, Node.js, FastAPI, REST, GraphQL.

AI / ML : PyTorch / TensorFlow, LLM fine-tuning, embeddings, multi-agent orchestration, RAG pipelines.

Data Science : Time-series modelling, anomaly detection, clustering, predictive analytics.

Infra / DevOps : GCP / AWS, Docker, Kubernetes, CI / CD pipelines, infra observability, data pipelines.

iOS (Swift / Objective-C)

Android (Kotlin / Java)

Leadership & Execution :

4–6 years of experience with real product launches (preferably in a startup / fast-scaling environment).

Proven ability to lead a 5–10 member engineering team (mentorship + accountability).

Strong track record of shipping AI-first products from prototype → production.

Obsessed with cost, latency, and scale trade-offs in AI.

Comfortable with chaos — knows when to hack, when to lay foundations.

Bonus Points :

Experience with IoT + AI fusion (wearables, health devices, or telemetry systems).

Published work, open-source contributions, or AI hackathon wins.

Strong interest in pets, animal welfare, or consumer health tech.

Can demo something they built end-to-end, not just talk about it.

Benefits

What’s In It for You

Salary : ₹25–30 LPA (75K for first 3 months of probation) .

Impact : You’ll be the tech brain behind the World’s first Pet Super App & FitYosa smart collar ecosystem.

Culture : Work directly with founders who believe in value-first, no-nonsense, work-hard-play-hard execution.

Freedom : Use the best tools, push boundaries, break things, and make them better.

Why This Role is Different

Most AI leads manage teams or code — we want both in one person.

You’ll architect PetAI (vertical LLM for pets).

You’ll integrate FitYosa’s wearable data into health AI.

You’ll own a super app that touches e-commerce, health, community, and hardware.

This isn’t a “maintenance” role. It’s a moonshot builder’s role.

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