AI Researcher (Agentic AI System Architecture)

Core Research Directions, responsible for one or two of the following areas:

Harness Architecture Design & Implementation

• Research and design Agent execution framework, providing standardized runtime environment for intelligent agents
• Implement tool call orchestration mechanism, supporting unified abstraction for function calling, API integration, and external system interaction
• Build execution sandbox environment to ensure safety and controllability of Agent operations
• Design task decomposition and planning engine, supporting automatic breakdown of complex goals and execution path optimization
• Implement execution state tracking and anomaly recovery mechanisms to ensure reliability of long-running tasks

Memory System Architecture Development

• Design hierarchical memory architecture, covering storage and retrieval mechanisms for working memory, short-term memory, and long-term memory
• Research memory compression and summarization techniques, enabling efficient storage of massive interaction history while preserving key information
• Build context-aware memory system, supporting multi-dimensional memory association based on time, task, and user
• Develop memory retrieval augmentation mechanisms, achieving deep integration of RAG and Agent memory
• Explore memory forgetting and update strategies, balancing memory capacity with information timeliness

Multi-Agent Collaboration Architecture

• Research multi-Agent system architecture, design communication protocols and collaboration mechanisms between Agents
• Implement role specialization and task allocation algorithms, supporting orchestration of expert Agents, coordinator Agents, executor Agents, and other roles
• Build consensus achievement and conflict resolution mechanisms to handle decision disagreements among multiple Agents
• Design Agent social behavior norms, simulating communication, negotiation, and feedback patterns in human team collaboration
• Explore emergent behavior and collective intelligence, researching self-organization and adaptive capabilities in multi-Agent systems

General Architecture Capabilities

• Design Agent evaluation and benchmarking system, establishing quantitative capability metrics
• Build Agent behavior interpretability framework, supporting decision process tracing and attribution analysis
• Research Agent safety alignment mechanisms to prevent risks such as unauthorized operations, harmful outputs, and goal drift
• Track cutting-edge Agentic AI research and translate academic achievements into engineering practice

• Master's degree or above in Computer Science, Artificial Intelligence, Cognitive Science, or related fields
• 3+ years of AI-related research or development experience, with hands-on experience in Agentic AI and LLM application architecture
• Publications in top-tier conferences (NeurIPS, ICML, ACL, EMNLP, etc.) are preferred

Technical Skills

Programming & Engineering

• Proficient in Python, familiar with asynchronous programming, concurrency control, and performance optimization
• Familiar with mainstream LLM frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, etc.)
• Experience in large-scale distributed system design and implementation
• Familiar with containerization technologies such as Docker and Kubernetes

AI Expertise

• Deep understanding of Transformer architecture and large model principles
• Familiar with Prompt Engineering, Function Calling, Tool Use, and related technologies
• Experience in RAG system development, familiar with vector retrieval, text Embedding, re-ranking, and related techniques
• Understanding of reinforcement learning fundamentals; experience with RLHF, DPO, and related methods is a plus

Architecture Design

• Capable of system architecture design, able to independently complete technical solution design for complex modules
• Familiar with design patterns and software engineering best practices
• Good habits in technical documentation writing

Research Capabilities

• Ability to conduct independent technical research, responsible for the entire process from problem definition to solution implementation
• Strong literature reading and summarization skills, able to quickly absorb cutting-edge research achievements
• Capability in technology selection and evaluation, able to make reasonable decisions among multiple solutions

Soft Skills

• Strong passion for AI technology, keeping up with the latest developments in the Agentic AI field
• Excellent communication and collaboration skills, able to work efficiently with engineering teams
• Critical thinking ability, capable of objectively evaluating and iteratively optimizing technical solutions

Preferred Qualifications

• Contributions to Agent framework open-source projects (e.g., LangChain, AutoGen, LlamaIndex)
• Production-level Agent system deployment experience with 10,000+ daily task processing
• Familiarity with cognitive science and human decision-making theory, able to apply them to Agent architecture design
• Research experience in Embodied AI or robotics
• Familiarity with Graph Neural Networks, Knowledge Graphs, and related project experience
• Entrepreneurial experience or experience building AI products from 0 to 1

Benefits include medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and company holidays. Additional benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide commuter benefits, well-being initiatives, and peer-to-peer recognition programs; demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work.

About GenScript Founded in 2002 in New Jersey, GenScript Biotech Corporation accelerates innovation in biotech and healthcare by providing researchers and companies with the building blocks needed to develop groundbreaking treatments and products. Guided by its mission to Make People and Nature Healthier Through Biotechnology, and its role as a well-recognized biotechnology company, GenScript has a team of approximately 6,165 employees and has served more than 200,000 customers across over 100 countries and regions., GenScript Biotech Corporation (HK.1548) is an important technology and service provider in the world for life science R&D and manufacture. Built upon its solid DNA synthesis technology, GenScript Biotech comprises four major business units: a life-science services and products business unit, a biologics contract development and manufacturing organization (CDMO) business unit, an industrial synthetic products business unit, and an integrated global cell therapy company. GenScript Biotech was founded in New Jersey, USA in 2002 and listed on the Hong Kong Stock Exchange in 2015. The company's business operations span over 100 countries and regions worldwide with legal entities located in the U.S., China, Japan, Singapore, Netherlands, Ireland, the United Kingdom, Korea, Belgium and Spain. GenScript Biotech provides premium, convenient and reliable services and products for over 200,000 customers. As of June 30, 2024, GenScript Biotech had more than 6,900 employees globally, and 103,600 peer-reviewed journal articles worldwide had cited GenScript Biotech's services and products. In addition, GenScript Biotech owns a number of intellectual property rights, including over 300 patents, over 900 patent applications and great numbers of know-how secrets. Driven by the corporate mission of "make people and nature healthier through biotechnology", GenScript Biotech strives to become the most trustworthy biotech company in the world.