patsnap - Software Engineer (AI Agent)
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Requirements
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. • Strong understanding of AI Orchestration frameworks (e.g., LangChain, LangGraph, or CrewAI) and LLM API integration. • Basic proficiency in Vue.js or modern frontend frameworks to facilitate full-stack collaboration and UI-to-Agent state management. • Familiarity with CI/CD pipelines and containerization technologies (e.g., Docker, Kubernetes). • Familiarity with SQL/NoSQL databases. • Demonstrated ability to independently lead AI-centric projects from concept to deployment. • Familiarity with the Model Context Protocol (MCP) and building modular "Skill" tools for AI agents. • Familiarity with Agent technical stack, e.g., agentic search, context engineering, etc. • Proficient in Python, and Familarity with vibe coding, e.g., Claude code. • Strong communication skills and the ability to collaborate effectively with a multidisciplinary team.
Responsibilities
• Design and implement robust backend solutions in Python using a three-layer architecture (Main Agent, Skills, and Search APIs). • Own the entire development cycle of Formulation Agents, from structured data extraction (patents/literature) to mechanistic reasoning and "functional blueprint" generation. • Address Out-of-Distribution (OOD) issues, reduce hallucinations through expert knowledge engineering, and ensure high-performance execution of complex agentic chains. • Develop and maintain modular "Skills" and agentic search tools, ensuring they are optimized for complex scientific querying. • Work closely with Material & Formulation Experts, Frontend Engineers, and Product Managers to align product roadmaps. • Diagnose issues in agent reasoning or data pipelines, implementing long-term fixes to prevent regressions in AI performance.
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