Python Lead Developer

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.