Software Engineer (AI Agent)

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.

Qualifications

            Minimum Qualifications

• 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.

  Preferred Qualifications

• 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.