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.
Qualifications :
- 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.
Additional Information :
- 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.
Remote Work :
No
Employment Type :
Full-time
We seek a motivated hands-on AI Scientist to join our interdisciplinary team focusing on integrating AI solutions within the life sciences domain.Key ResponsibilitiesDesign prototype and implement cutting-edge autonomous AI agents and multi-agent systems capable of dynamic planning reasoning memory ...
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.
Qualifications :
- 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.
Additional Information :
- 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.
Remote Work :
No
Employment Type :
Full-time
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