Senior Python/FastAPI Developer(FastAPI, RL Gym) at Gramian Consulting Group

, , Egypt -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, RL Gym, REST APIs, Async Programming, API Lifecycle Management, NumPy, Pandas, PyTorch, TensorFlow, SQL, Testing, CI/CD, Version Control, Design Patterns

Industry

IT Services and IT Consulting

Description

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. Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading Tech companies.

Responsibilities

The role involves designing, building, and maintaining FastAPI-based services to support experimentation workflows and simulation environments for a Reinforcement Learning project. Responsibilities include collaborating with ML engineers to expose necessary APIs and writing efficient, production-grade Python code emphasizing scalability.