Python Service implementation

About the Client:

Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They help customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behaviour, 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, and data capture for pre-training, post-training, and building AI applications.

Job Title: Python Service implementation

Location: Pan India

Experience: 5+ yrs

Job Type: Contract to hire

Notice Period:- Immediate joiner

Responsibilities:

What does day-to-day look like?

• Designing and Implementing real-world services as modular, production-ready APIs
• Creating and maintaining excellent, developer-friendly documentation
• Following a strict test-driven development approach — tests first, code second
• Building at maximum velocity without compromising on reliability or maintainability
• Designing and iterating on scalable database schemas for each service integration

Requirements:

• 5+ years of experience with practical, production-grade

  Python

  development.

• Strong understanding of

  system design principles.

• Proven ability to

  design modular, high-performance APIs

  and manage the complete API lifecycle.
• Hands-on experience with

  Test Driven Development (TDD).

• Strong fundamentals in database schema design and

  data modelling.

• Demonstrated

  ownership

  of technical decisions, with the ability to explain and justify trade-offs.
• Excellent technical communication skills — able to explain design, document APIs and collaborate effectively across teams
• Able to work at a rapid pace without sacrificing clarity or correctness
• [Bonus] Familiarity with LLM function calling protocols and paradigms