Self-learning generative AI for healthcare

Senior Software Engineer, AI Agents

₹1 cr – ₹1 cr
|
Bangalore Urban
|3 years of exp
|Full Time

Posted: 1 month ago

Job Location

Bangalore Urban

Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed

Skills

Generative AI

LLMs

About the job

About Asha Health

Asha Health helps medical practices launch their own AI clinics. We're backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We recently raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.

About the Role

We're looking for a top 0.01% Software Engineer to join our engineering team in our Bangalore office.

4.6 fundamentally changed the game, which means that high intelligence, high agency engineers can now do the work of 10+ good engineers. It doesn't make sense to have anyone but the best on the team.

Since low level coding has become easier, what we expect from engineers on our team has expanded. Engineers on our team are expected to:

Ship features end to end at a rapid pace
Deeply research the domain and be their own product managers
Ensure reliability and quality is best-in-class
Design robust eng architecture, and develop testing and observability tools for each feature pre-launch
Build each feature with deep customer empathy, meaning planning out and building stellar UX yourself

This means to thrive in a startup environment like ours, you not only need to be a stellar engineer, but you need to:

Be super adept with AI development tools and building the AI systems that build your features for you (Conductor, Browser agents, QA agents, Ralph loops, adverserial agents, and more).
Have exceptional product and UX taste, meaning you can ship features that are more effective than those historically designed by teams of product managers and designers.
Take the highest level of ownership around feature outcomes, reliability, and observability.

Other Points to Note

We are growing rapidly, our work has impact on tens of thousands of patients if not more.
On our team, everything you do is on the bleeding edge of applied AI.
We expect a high level of commitment from everyone on the team, most folks work 6 days and lead every project with intensity. It's a high ask, and we only bring on the best people. We compensate significantly above market, accordingly.