Software Engineer II, Reinforcement Learning Environments
On-siteBengaluru, Karnataka, India
Job Summary
Design, build, and scale the Reinforcement Learning Environments (RLE) platform and its infrastructure by designing scalable backend services, data generation pipelines, and modular environment domains. Partner with US-based Engineering, Research, Product, and Operations teams to execute a shared roadmap, contributing to architecture decisions and improving platform reliability, observability, and developer productivity. Write high-quality, maintainable code while helping establish engineering standards and best practices. This role focuses on creating interactive systems where frontier AI models learn to complete real-world work across domains like software engineering, finance, and legal research, supporting the company's mission to power the next generation of AI model training.
Required Qualifications
- 3+ 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
- Location: Bengaluru, India
- This is an in-office role
Desired Qualifications
- 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
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