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Recognizable startup, Bangalore location, mid-level generalist backend role with broad skillset increases competition.
Core backend and distributed systems skills are transferable, but RL/evaluation platform experience is niche.
Explicit 3+ years plus mandatory backend, cloud, TypeScript/Postgres skills create strict shortlisting filters.
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Design, build, and scale Reinforcement Learning Environments (RLE) platform and supporting infrastructure for AI model training and evaluation.
Develop scalable backend services, data generation pipelines, and modular environment domains integrated with AI workflows.
Collaborate closely with US-based Engineering, Research, Product, and Operations teams to deliver reliable, observable, and high-performance systems.
Minimum 3 years professional software engineering experience, focusing on backend, distributed systems, or platform infrastructure.
Strong proficiency in TypeScript, React, PostgreSQL, data modeling, system design, and experience with AWS or GCP production environments.
Location requirement: Bengaluru, India (in-office).
Experience collaborating with globally distributed engineering teams, especially US-based teams.
Experienced with scalable backend platform development in complex, fast-paced, and ambiguous technical environments.
Skilled in distributed systems architecture and infrastructure supporting AI/ML workflows or simulation systems.
Able to partner cross-functionally with US teams to deliver critical platform capabilities with measurable operational impact.