Python Fastapi Lead

About Company : -

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,” it enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Description :

Job Title : Python FastAPI Lead

Location : Pan India

Experience : 8+ yrs.

Job Type : Contract to Hire.

Notice Period : - Immediate joiners.

Job Description : -

• 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.