Python / Fast API Development Lead (USD - Remote)

Salary : 2500 - 3000 usd

Location : Remote

⏱️ Commitment Required : Full availability (8 hrs / day) with at least 4 hours overlap with PST (8pm–12pm IST)

Mandatory Skills : Python, FastAPI, RESTful APIs, asynchronous programming, software engineering best practices, team leadership, automated testing, CI / CD pipelines, Git, scalable design patterns

Role Overview

We are looking for a highly skilled Python / FastAPI Development Lead to join an exciting Reinforcement Learning (RL) Gym project.

You will help architect scalable APIs, enhance backend performance, and collaborate with ML researchers to power cutting-edge RL experiments and simulations.

No prior RL Gym experience is required, but it’s definitely a plus!

✨ High-impact role

Scalable systems & performance

Cross-functional collaboration

Responsibilities

Design, build, and maintain FastAPI services that support experimentation workflows and RL simulation environments

Collaborate closely with ML engineers to expose APIs for training, evaluation, and benchmarking

Write clean, scalable, production-ready Python code with strong emphasis on maintainability

Troubleshoot performance issues, optimize pipelines, and ensure smooth application deployments

Required Skills

3+ years of experience in Python development, including 2+ years of hands-on FastAPI work for high-performance backends

1+ year of team leadership experience mentoring teams of 5+ developers

Strong ability to review code, give constructive feedback, and maintain high coding standards through PR merges

Excellent ownership mindset with proven ability to identify risks early and manage end-to-end delivery

Expert-level FastAPI knowledge (Flask / Django helpful but not a substitute)

Strong background designing RESTful APIs, asynchronous programming, and managing full API lifecycles

Solid understanding of engineering best practices including test automation, CI / CD, Git workflows, and scalable architecture patterns

Familiarity with NumPy and Pandas; exposure to TensorFlow or PyTorch is a plus

Nice-to-have familiarity with Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines)

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Nice to Have

Experience working with RL environments (OpenAI Gym, Gymnasium, Stable Baselines)

Exposure to deep learning frameworks such as PyTorch or TensorFlow

Hands-on experience with SQL or database design for data-driven applications

Background in cloud technologies (AWS, GCP, Azure) and containerization (Docker, Kubernetes)