AI and ML engineers
LLM applications, agents, evaluation and classic ML
- RAG and agent systems
- Evals and guardrails
- Forecasting and scoring models
We are a small, senior team that designs, builds and runs AI, data and cloud systems for companies around the world. If you like owning hard problems all the way to production, we would like to meet you.
Why Sunday Labs
The things our clients value are the same things that make this a good place to do your best engineering.
You build things clients run their business on: agents, data platforms, models and the infrastructure under them. Not proofs of concept that end in a slide.
Squads of two to four experienced people. Your work is visible, your judgement is trusted and nobody hides behind process.
Sukant and Saumya review the work every week. You get direct feedback from the people who run the company, not three layers removed.
One quarter it is a RAG system for a lender, the next a lakehouse for a retailer or a Kubernetes platform for a SaaS team. We are platform agnostic, so you learn the tools that fit the problem.
We work with teams in India, the US, UK, MENA, Indonesia, Singapore and Australia, on problems where the data is messy and the stakes are real.
Who we hire
We do not keep a long list of job ads. These are the areas we hire for as client work grows. If one of them is you, write to us.
LLM applications, agents, evaluation and classic ML
Pipelines, lakehouses and the data quality work everything depends on
The services and APIs that put AI inside real products
Cloud, CI/CD and on-call for the platforms we run
Test strategy and automation that keeps releases boring
Senior people who design systems and lead a squad
How we hire
A short, respectful process. You talk to engineers and founders, not a screening funnel.
What we look for
Send a short note about what you have built and what you want to work on next.
A conversation about your experience, what you are looking for and how we work.
A deep discussion with a senior engineer about systems you have designed and problems you have solved.
Every engineer meets the founders before joining a client project. Then we make a decision quickly.
FAQ
Send a short note with your CV or LinkedIn profile and links to work you are proud of. A real person reads every message, and we reply to everyone.