Reinforcement Learning Engineer

Focus: Reinforcement Learning, AI Agents & Evaluation DeepRec.ai is partnering with a fast-growing AI company building technology at the intersection ofreinforcement learning, AI agents and model evaluation .We’re looking for aReinforcement Learning Engineerwho enjoys building the systems and tooling that turn cutting-edge AI research into scalable, usable infrastructure. This is a highly hands-on role working closely with research and engineering teams. You’ll help build the platforms used to generate and evaluate agent behaviour, understand model performance, improve training data quality and accelerate experimentation. What you'll work onBuild infrastructure and tooling supporting reinforcement learning and agent evaluation. Develop systems for collecting, inspecting and improving training and evaluation data. Create tools for analysing trajectories, rewards, model behaviour and failure modes. Build evaluation pipelines, quality-control workflows and experimentation tooling. Develop APIs and backend services connecting data generation, evaluation and training workflows. Create dashboards and observability systems for understanding experiments and model performance. Work closely with AI researchers to turn rapidly evolving research requirements into reliable engineering systems. Take ownership from initial idea through implementation, deployment and iteration.