Sr. Python Engineer

About the job

Job Description : Job Title : Sr. Python Engineer Location : Pan India Experience : 2+ yrs. Employment Type : Contract to hire Work Mode : Remote Notice Period : - Immediate joiners Key Responsibilities • Develop and maintain Python-based scripts and services for LLM- and agent-driven systems • Design, build, and optimize SOTA LLM workflows and autonomous agent architectures • Implement and maintain web scraping pipelines for structured and unstructured data collection • Analyze, debug, and improve agent behavior, prompt logic, and system reliability • Integrate LLM-based components into end-to-end application workflows • Ensure code quality, performance, and maintainability of AI-focused systems • Stay current with advancements in LLMs, agent frameworks, and applied AI techniques. Requirements • 5+ years of professional experience as a software engineer • Strong proficiency in Python scripting and development • Hands-on experience working primarily or exclusively with LLMs and SOTA agent systems • Experience with web scraping, data extraction, and preprocessing • Strong debugging, analytical, and problem-solving skills • High attention to detail and code quality.

Requirements

• Python
• LLM
• Web Scraping

Preferred Technologies

• Python
• LLM
• Web Scraping

About the 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,” 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.