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Senior Python/FastAPI Developer(FastAPI, RL Gym) at Gramian Consulting Group. Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.. 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.. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. . Employment type: Contractor assignment (no medical/paid leave). Duration of contract: 2. months. Location:. India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico, Brazil. Interview: . 30 min MCQ test on FastAPI. What does day-to-day life look like?. 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.. 4+ years of professional Python development experience including . 3+ years of strong experience in FastAPI. 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 NumPy, Pandas, and PyTorch/TensorFlow is a plus.. Good to have: Exposure to Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines, or custom environments) & SQL experience. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.. Company Location: Brazil.