Senior AI Engineer; Generative AI & Agentic Systems

Now Hiring Machine Learning AI Engineering Priority Hire

Pan.

Bio is building an AI-native platform that helps scientists and clinicians analyze complex biomedical data, automate research workflows, and accelerate discovery. Our products combine bioinformatics, cloud computing, and Generative AI to transform how researchers interact with data, knowledge, and scientific workflows.

We are looking for a Senior AI Engineer with strong machine learning and data science fundamentals to help build the next generation of AI-powered capabilities across our platform.

• Design, build, and deploy production-grade AI systems and intelligent applications.
• Develop AI agents, agent skills, MCP integrations, RAG systems, and workflow automation solutions.
• Build reusable AI capabilities that can be shared across products and use cases.
• Evaluate, monitor, and improve AI systems using rigorous experimentation and data-driven decision making.
• Collaborate closely with software engineers, bioinformaticians, and product teams to solve real-world scientific and healthcare challenges.
• Stay current with advances in Generative AI and help shape our technical roadmap.

• 4+ years of experience in AI/ML Engineering, Data Science, Applied AI, or a related field.
• Strong foundation in machine learning, statistics, experimentation, and data analysis.
• Strong Python programming and software engineering skills.
• Experience building and deploying production AI/ML systems in cloud environments (GCP preferred).
• Hands-on experience with LLMs, reasoning models, tool calling, structured outputs, context engineering, and AI evaluation.
• Experience building agentic AI systems, including AI agents, agent skills, MCP integrations, RAG, and workflow automation.
• Familiarity with the full ML lifecycle, from experimentation and evaluation to deployment and monitoring.
• Ability to thrive in a fast-paced startup environment with high ownership and autonomy.

Not blockers, but they'll make your application stand out.

• Experience with multi-agent systems, agent orchestration, or AI platform engineering.
• Experience with AI observability, guardrails, and governance.
• Experience with Docker, Kubernetes, MLOps, and CI/CD.
• Background in bioinformatics, genomics, healthcare, life sciences, or scientific computing.

• Build cutting-edge AI products at the intersection of Generative AI and life sciences.
• Work on challenging problems with real-world scientific and healthcare impact.
• Join a small, experienced team with significant ownership and influence over product direction.
• Help shape the future of AI-powered scientific discovery.