360Labs is among Asia's fastest growing AI companies. We build AI agents, enterprise software and products for clients across government, defence, healthcare, fintech and beyond, and we ship fast: working prototypes in days, production systems in weeks. We're looking for an engineer who can take an idea and ship it as a working product, covering data, model, backend, frontend and deployment.

What You'll Do

- Ship across the full stack. Build and ship product features end to end, from data pipelines and APIs to the interface the user actually touches. You'll own features, not tickets.
- Train, fine-tune and distil models. Adapt models for specific tasks, then make them smaller, faster and cheaper with no loss in quality. Know when a fine-tuned small model beats a frontier API call, and prove it.
- Build evaluations. Create evaluation sets and pipelines so we measure quality instead of guessing at it. Every model change should come with numbers.
- Build LLM systems for production. Design and build RAG pipelines, tool use, agents and structured outputs that hold up with real users and real data, not just in a demo.
- Run what you ship. Put models into production, monitor latency, cost and failures, and fix problems at the root cause rather than patching symptoms.
- Write code others can build on. Write clean, tested code that other engineers can read, test and change without needing to ask you first.





About You

- You are an engineer who has shipped real products, not just notebooks. You're comfortable across Python and TypeScript, modern web frameworks, databases and cloud infrastructure.
- You have hands-on experience building with LLMs, whether that's RAG, agents, fine-tuning or evaluation, and you understand where they fail as well as where they shine.
- You are AI-native. You use AI coding tools every day, you know how to get the most out of them, and you still understand and own every line you ship.
- You care about quality and cost. You think about latency, token spend and failure modes before they become someone else's problem.
- You are reliable and proactive. You deliver what you said you would, flag problems early, and don't wait to be told what to fix next.
- You are happy working with autonomy in a small, rapid-moving team, and confident asking for help when you need it.

We especially want to hear from you if you have

- Experience fine-tuning, distilling or quantising models and deploying them in production.
- Built evaluation frameworks or LLM observability tooling.
- Worked on client-facing projects at a startup, product studio or consultancy.
- Open-source contributions, research or side projects you're proud of. Send us the link.

Reach out to [email protected] to apply

📌 Full-Stack AI Engineer (Bengaluru)
🏢 360 Labs
📍 Bengaluru