Python Developer

About Company:

Our Client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.

Client 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 Client 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.

Client—based in San Francisco, California—was named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.

Job Title: Python Developer

Location: Remote

Note:

Interview Mode:

Client:

Experience: 5+ yrs

Job Type : Contract to hire.

Notice Period:- Immediate joiners.

Roles and Responsibilities:

7+ years of experience as a backend or full-stack engineer with a strong backend focus

Advanced proficiency in Python

Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar)

Background in machine learning engineering is a strong plus

Solid understanding of service architecture and production deployment workflows.