We seek a motivated, hands-on AI Scientist to join our interdisciplinary team, focusing on integrating AI solutions within the life sciences domain.
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.
- 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.
- Knowledge of bioinformatics data analysis will be a significant plus.
- Ph.D. in AI, Machine Learning, Statistics, Bioinformatics or a related field.
Desired Attributes
- 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.
- 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.
