AI Researcher; Agentic AI System Architecture

AI Researcher (Agentic AI System Architecture)

Location: Piscataway, NJ

Estimated salary range: $85,000 - $145,000 depending on experience.

Core Research Directions – select one or two 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 cont rollability 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
• 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

Basic Qualifications

• 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

• Proficient in Python, familiar with asynchronous programming, concurrency control, and performance optimization
• Familiar with mainstream LLM frameworks (Lang Chain, Llama Index, Auto Gen, 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
• 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…