About the job
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.
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. The company's growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.
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