Python Developer

About Cient:

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 /FastAPI Developer

Location: Pan India

Experience: 3+ yrs

Job Type : Contract to hire

Notice Period:- Immediate joiner

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.

Requirements

• 3+ years

  of professional Python development experience.
• Strong knowledge of

  FastAPI

  (or equivalent frameworks like Flask, Django, but FastAPI required).
• 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).
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.