Software Engineer II, Reinforcement Learning Environments

Build a massive, fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

We are building our India team to help accelerate the development of frontier models. This team is a critical, strategic investment for us - we have grown the team 3x in the past six months to help fuel our next phase of growth. India-based teammates will work hand-in-hand with US-based teams to scope, execute, and deliver critical human data projects to Frontier Labs and other customers.

About the Role

We're hiring a Software Engineer II to help build our Reinforcement Learning Environments (RLE) platform—the interactive systems where frontier AI models learn to complete real-world work.

RLE environments simulate end-to-end workflows across domains like software engineering, finance, legal research, and business operations with realistic tools, constraints, and feedback loops. The interaction data generated powers the training and evaluation of the world's leading AI models.

As part of our growing engineering organization in India, you'll partner closely with Engineering, Research, Product, and Operations teams in the US to build the platforms powering the next generation of AI. You'll own meaningful technical projects, contribute to platform architecture, and help build reliable systems that enable researchers to rapidly develop and evaluate frontier AI models.

Location: Bengaluru, India. This is an in-office role.

What You'll Do

Design, build, and scale our Reinforcement Learning Environments (RLE) platform and the infrastructure that powers it

Partner closely with Engineering, Research, Product, and Operations teams in the US to execute against a shared roadmap

Design and implement scalable backend services and data generation pipelines

Build modular environment domains that integrate seamlessly with model training and evaluation workflows

Improve platform reliability, observability, performance, and developer productivity

Participate in technical design discussions and contribute to architecture decisions

Write high-quality, maintainable code while helping improve engineering standards and best practices

What We're Looking For

6+ years of professional software engineering experience building backend systems, distributed systems, or platform infrastructure

Strong proficiency with TypeScript, React, and modern backend architectures

Strong understanding of PostgreSQL, data modeling, distributed systems, and system design

Experience building and operating production systems on AWS or GCP

Strong problem-solving skills and the ability to thrive in fast-moving, ambiguous environments

Experience collaborating effectively with globally distributed engineering teams, including teams based in the US

Nice to Have

Experience with reinforcement learning infrastructure, simulation systems, or AI evaluation platforms

Experience building internal developer platforms or workflow orchestration systems

Familiarity with Docker, Kubernetes, and CI/CD pipelines

Experience supporting applied ML or AI research teams

Experience working in a fast-growing startup or high-growth engineering organization

What Success Looks Like

Reinforcement Learning Environments become a trusted platform powering the next generation of AI model training

New environments launch quickly with high-quality, scalable infrastructure

Systems are reliable, observable, and built to support rapid iteration

You become a trusted engineering partner across the India and US teams, helping deliver critical platform capabilities

You’ll Thrive Here If You:

Are motivated by solving operational problems that have direct, measurable impact.

Want to be part of a company shaping the future of AI through human data.

Can navigate ambiguity, act with urgency, and keep multiple workstreams moving in parallel.

Perks:

Generous Equity Grant vested over 4 years

Housing Bonus: 1.3 Lakhs spread throughout the first year

Well Defined Performance Bonus ranging between 10 - 100% of base

Medical Insurance Coverage

Food credit for every in person day.