AI Scientist (US Temporary)

Pleasanton

Key Responsibilities： Design, prototype, and implement cutting-edge autonomous AI agents and multi-agent systems capable of dynamic planning, reasoning, memory management, and self-reflection. Develop and integrate core agent components, including planning modules (e.g., Tree-of-Thought, CoT-based planners), tool-use interfaces, and persistent long-term memory/retrieval mechanisms (RAG). Develop high-quality, production-ready code in Python/Go for integrating LLMs and other foundational models into functional agent architectures. Build and maintain scalable agent infrastructure using frameworks like LangChain ensuring seamless integration with cloud services (AWS preferred). Conduct rigorous testing, evaluation, and optimization of agent performance on complex, real-world tasks. Work closely with the engineering team to define agent use cases and translate research prototypes into deployable product features that deliver business value. Qualifications： Education: A Master's degree (MS) in AI, Machine Learning, Statistics, Bioinformatics, or a related field. Experience: A demonstrated practical experience building and implementing LLM-based agents, specifically using tool-calling, external memory, and multi-step reasoning. Agentic Architecture: Strong understanding of key agentic concepts: Memory (Short-Term/Long-Term), Planning, Tool Use, and Self-Reflection/Evaluation. Tooling \& Ecosystems: Hands-on experience with agentic automation/frameworks (e.g., LangChain, ReAct, etc), vector databases (e.g., Qdrant) and infrastructure services (e.g., Bedrock AgentCore). Software Engineering: Fluency with software engineering best practices, including testing, code reviews, version control (e.g., Git), and containerization. Ethics: Knowledge of AI ethics and safety principles, particularly as they apply to autonomous decision-making systems. Domain Knowledge: Knowledge of bioinformatics data analysis will be a significant plus. Desired Attributes Proactive, results-oriented, and driven with a "get things done" mindset. Strong problem-solving skills and adaptability to evolving project requirements. Collaborative team player who thrives in dynamic environments.