Description
AI Engineer (Agent Systems & LLMs)
Team: Engineering
Location: Palo Alto, CA
Commitment: Full Time
Workplace Type: onsite
GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.
This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.
Your job will be to build AI scientists that conduct autonomous biomedical research with GenBio’s virtual instruments and simulators. If successful, your contributions will enable rapidly designing and orchestrating end-to-end biological simulation studies for drug design, healthcare, and biotechnology development.
Responsibilities
- Applied Agent Development: Build and deploy applied AI agents specifically tailored for complex workflows in software engineering, data science, and scientific discovery.
- Build Agent Environments: Architect fast, secure, and performant environments for AI code execution using tools like Kubernetes, gVisor, and Modal.
- Evaluation & Benchmarking: Design and implement rigorous evaluation frameworks to hillclimb agent performance, reliability, and reasoning capabilities.
- Inference & Optimization: Optimize LLM inference pipelines and manage fine-tuning workflows to ensure models are scalable and low-latency in production.
- Research Engineering: Translate experimental research concepts into robust, shippable product features, maintaining high engineering standards throughout the process.
- Automate Everything
Qualifications
- Education & Experience: M.S. or Ph.D. in computer science, machine learning, or related discipline, or equivalent practical experience.
- Agentic Systems Experience: Proven experience building applied AI agents or complex LLM-driven applications, with a focus on tool use, code generation, and long-horizon planning and execution.
- Deep Technical Understanding: Deep knowledge of LLM inference, fine-tuning techniques, and the modern AI infrastructure stack.
- Infrastructure Mastery: Proficiency with containerization and secure sandboxing technologies (Kubernetes, gVisor) and serverless execution platforms (Modal).
- 0-to-1 Mindset: Experience bootstrapping products in fast-paced startup environments; you are comfortable building from scratch with high autonomy.
- Interdisciplinary Communication: Excellence in both engineering and research communication, with the ability to articulate complex technical challenges to a diverse team.
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
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