Senior AI Scientist

Fapon • Pleasanton, CA

10d • Hybrid

About The Position

We seek a motivated, hands-on AI Scientist to join our interdisciplinary team, focusing on integrating AI solutions within the life sciences domain.

Requirements

• Minimum of 2-3 years of industry experience with demonstrated practical experience building and implementing LLM-based agents (e.g., using tool-calling, external memory, and multi-step reasoning).
• Strong understanding of key agentic concepts: Memory (Short-Term/Long-Term), Planning, Tool Use, and Self-Reflection/Evaluation.
• Hands-on experience with agentic automation/frameworks (e.g., LangChain, ReAct, etc), vector databases (e.g., Qdrant) and infrastructure services (e.g., Bedrock AgentCore).
• Fluency with software engineering best practices, including testing, code reviews, version control (e.g., Git), and containerization.
• Knowledge of AI ethics and safety principles, particularly as they apply to autonomous decision-making systems.
• Ph.D. in AI, Machine Learning, Statistics, Bioinformatics or a related field.

Nice To Haves

• Knowledge of bioinformatics data analysis will be a significant plus.
• Entrepreneurial mindset with comfort in ambiguous, fast-paced environments.
• 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.

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.

Benefits

• Financial security through competitive compensation, incentives, and retirement plan
• Healthcare and well-being programs including competitive medical, dental, and vision benefits
• Generous paid time-off including vacation, sick time, holidays, and discretionary winter shutdown
• 401(k) retirement savings with a generous company match
• Other comprehensive voluntary benefits include but are not limited to pet insurance, life insurance, employee assistance program (EAP), discount programs, and many more
• We continue to optimize our benefits & wellness programs as we grow our organization to make sure they meet our diverse workforce needs
• Hybrid work opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees