About Hyde

We are an early stage, pre-series A team made up of multiple Olympiad medalists, hands-on ex-Palantir founders, and alumni from leading institutions including McKinsey, KKR, Google, HBS, Columbia. You will be joining a ~20 person team based across NYC, London, and Mumbai. We are backed by Bain Capital Ventures and General Catalyst, and we are already partnering with Global 500s, AI natives, and investment firms to take ownership of AI outcomes across the world.

What is an AI Builder?

Being an AI Builder at Hyde is like leading your own Applied AI startup, you’re the CXO - driving vision, strategy, and execution. You’ll work in small, high-leverage pods responsible for building and deploying an integrated training and inference stack that enables enterprises to develop RL-based agents. Your work doesn’t stop at customer deployment, you’ll translate real-world usage into product improvements, shaping Hyde’s core platform, primitives, and tooling.

Every day is different, here are some ideas of what you will do:

• You’ll be a generalist engineer: working across research, product, and forward deployed pods to design and build AI systems that drive business impact. On any day you may be working on building agents, training models, setting up evaluation matrices, or creating RL environments for specific domains.

• Iterate on Hyde’s product toolkits by capturing cutting-edge applied AI patterns that create delivery leverage. Equally capture usage insights from production environments to refine product abstractions and interfaces for developers.

• Work directly with CXOs and senior stakeholders to identify high-value problem spaces and translate them into productizable AI systems

We have a select number of AI builder internship opportunities - if you are applying for that please note this in your application.

You may be the right fit if you have:

• Experience working in applied ML, reinforcement learning, product engineering, and/or top-tier management consulting. Ideally, experience deploying AI in creative ways to solve real-world problems

• A strong foundation in ML basics (Evaluation, Training, Problem Decomposition). Preferred backgrounds include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, Machine Learning, Data Science

• A track record of working directly with customers to build and/or scale end-user applications preferred

• Proficiency in software engineering principles and an understanding of languages such as Python, Java, C++, TypeScript / JavaScript

The details, flexible for the right candidate

• Location: In person at our office in Altimus, Worli in Mumbai

• Competitive compensation

• Full time role