Python Developer; FastAPI – Reinforcement Learning Gym Project

Role Overview

We are seeking a Python Developer with strong expertise in FastAPI to join an exciting Reinforcement Learning (RL) Gym project. You will design, build, and optimize scalable APIs, collaborate with researchers and engineers, and deliver high-quality backend services to support reinforcement learning experiments and simulations. Prior RL Gym experience is not mandatory but would be a plus.

• Design, build, and maintain FastAPI-based services for experimentation workflows and simulation environments.
• Collaborate with ML engineers to expose APIs for training, evaluation, and benchmarking.
• Write efficient, production-grade Python code with a strong emphasis on scalability and maintainability.
• Troubleshoot performance issues, optimize pipelines, and ensure smooth deployment of applications.

• 5+ years of professional Python development experience including 3+ years of strong experience in FastAPI
• Strong knowledge of FastAPI (or equivalent frameworks like Flask, Django, but FastAPI required).
• Experience with REST APIs, async programming, and API lifecycle management.
• Solid understanding of software engineering best practices (testing, CI/CD, version control, design patterns).
• Familiarity with Num Py, Pandas, and PyTorch/Tensor Flow is a plus.
• Good to have:
  Exposure to Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines, or custom environments).
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.