We are seeking a highly skilled and experienced Python Backend Engineer to join our Materials Science AI team. You will take full ownership of the AI Agent architecture, specifically focusing on the development of formulation and search agents. You will design the "brain" of our systems—orchestrating complex workflows between LLMs, internal skill modules, and scientific search APIs. You will collaborate with cross-functional stakeholders, mentor junior engineers, and drive innovation in our Agentic backend services while ensuring a seamless integration with our Vue-based frontend.
Patsnap26d ago
Software Engineer (AI Agent)
Data ScienceSoftware EngineerSoftware Engineering
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Quick Summary
Overview
We are seeking a highly skilled and experienced Python Backend Engineer to join our Materials Science AI team. You will take full ownership of the AI Agent architecture,
Technical Tools
Data ScienceSoftware EngineerSoftware Engineering
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Design and implement robust backend solutions in Python using a three-layer architecture (Main Agent, Skills, and Search APIs).
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Own the entire development cycle of Formulation Agents, from structured data extraction (patents/literature) to mechanistic reasoning and "functional blueprint" generation.
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Address Out-of-Distribution (OOD) issues, reduce hallucinations through expert knowledge engineering, and ensure high-performance execution of complex agentic chains.
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Develop and maintain modular "Skills" and agentic search tools, ensuring they are optimized for complex scientific querying.
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Work closely with Material & Formulation Experts, Frontend Engineers, and Product Managers to align product roadmaps.
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Diagnose issues in agent reasoning or data pipelines, implementing long-term fixes to prevent regressions in AI performance.
Minimum Qualifications
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Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
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Strong understanding of AI Orchestration frameworks (e.g., LangChain, LangGraph, or CrewAI) and LLM API integration.
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Basic proficiency in Vue.js or modern frontend frameworks to facilitate full-stack collaboration and UI-to-Agent state management.
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Familiarity with CI/CD pipelines and containerization technologies (e.g., Docker, Kubernetes).
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Familiarity with SQL/NoSQL databases.
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Demonstrated ability to independently lead AI-centric projects from concept to deployment.
Preferred Qualifications
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Familiarity with the Model Context Protocol (MCP) and building modular "Skill" tools for AI agents.
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Familiarity with Agent technical stack, e.g., agentic search, context engineering, etc.
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Proficient in Python, and Familarity with vibe coding, e.g., Claude code.
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Strong communication skills and the ability to collaborate effectively with a multidisciplinary team.
Listing Details
- Posted
- March 30, 2026
- First seen
- March 30, 2026
- Last seen
- April 24, 2026
Posting Health
- Days active
- 26
- Repost count
- 0
- Trust Level
- 31%
- Scored at
- April 25, 2026
Signal breakdown
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Patsnap
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PatSnap is a global leader in AI-powered innovation and IP intelligence, providing a platform that helps R&D and IP teams make faster, more informed decisions. Founded in 2007, the company serves over 15,000 customers worldwide.
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