Tuyển dụng Agentic AI Expert LLM, Machine Learning, Python tại Hà Nội

Cognitive Architecture & Agent Design

• Design and define the agentic cognitive architecture for humanoid robots.
• Build reasoning, planning, and decision-making systems powered by LLMs.
• Develop hierarchical goal decomposition and task execution mechanisms.
• Design and implement robot memory systems (episodic, semantic, and working memory).

Grounding & Autonomy

• Ground language reasoning into perception signals and robot control actions.
• Build closed-loop perception–reasoning–action systems for real-world autonomy.
• Define evaluation metrics for autonomy, robustness, latency, reliability, and safety.

Research & Deployment

• Publish high-impact research and contribute to the global AI & robotics community.
• Translate research breakthroughs into scalable production systems.
• Collaborate closely with Vision, Conversation AI, Control, and System Engineering teams to integrate agentic intelligence into deployed humanoid robots.

Education & Background

• Master’s or PhD in Artificial Intelligence, Machine Learning, Robotics, or related fields.
• Strong hands-on experience with LLMs, agent architectures, and decision-making systems.
• Proficiency in Python (PyTorch required).
• Strong system-thinking mindset and rigorous experimental design capability.

Core Expertise

• Agentic AI architectures: Planner–Executor loops, ReAct-style agents, multi-agent systems, goal decomposition, task orchestration.
• LLM reasoning & alignment: Instruction tuning, safety alignment, hallucination mitigation, controllable generation.
• Memory systems: Short-term memory, long-term memory, episodic memory, semantic knowledge graphs, retrieval-augmented reasoning.
• Multimodal grounding: Connecting language ↔ vision ↔ robot state ↔ action in closed-loop systems.

Preferred Qualifications

• Research publications in top-tier venues such as NeurIPS, ICLR, ICML, RSS, or ICRA.
• Experience with:
• Retrieval-Augmented Generation (RAG) / memory-augmented agents
• Tool-use and API-driven agents
• Multimodal agents (vision + language + action)
• Knowledge of:
• Reinforcement Learning, RLHF, or preference learning
• Safety, alignment, and failure recovery mechanisms for autonomous agents

Personality & Attitude

• Proactive, responsible, and impact-driven with a strong business mindset.
• Excellent communication and cross-functional collaboration skills.
• Strong problem-solving capability and system-level thinking.
• Comfortable working at the frontier of research with evolving constraints.

• Attractive income, competitive and commensurate with individual capabilities. 
• 13th-month salary, gifts on public holidays and special occasions, and performance-based bonuses. 
• Meal allowance, annual company trips, health insurance, and exclusive benefits within the Group’s ecosystem 
• Clear career development opportunities aligned with the company’s growth, with access to training programs based on capability and job role. 
• A dynamic and open working environment with diverse cultural and sports activities.