Python with FastAPI

About Client :

Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways : Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.

Job Title : Python Developer with FastAPI

Location : Hyderabad

Experience : 5+ years

Employment Type : Contract to hire

Notice Period : Immediate joiners

Requirements

8+ years of professional experience in Python development, including 5+ years of hands-on expertise with FastAPI for building scalable, high-performance backend systems.

4+ years of team leadership experience, managing and mentoring teams of 5 or more developers to deliver high-quality, maintainable code.

Proven ability to review code, provide constructive feedback, and merge PRs to ensure consistency, reliability, and adherence to engineering standards.

Strong track record of identifying and mitigating risks early, coupled with a deep sense of ownership and accountability across the full software development lifecycle.

Expert-level knowledge of FastAPI (experience with frameworks such as Flask or Django is beneficial, but FastAPI expertise is required).

Hands-on experience in designing and maintaining RESTful APIs, implementing asynchronous programming, and managing the complete API lifecycle from design to deployment.

Solid understanding of software engineering best practices, including automated testing, CI / CD pipelines, version control (Git), and scalable design patterns.

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

Good to have : Experience with SQL and familiarity with Reinforcement Learning (RL) environments such as OpenAI Gym, Gymnasium, or Stable Baselines.