Build and ship end-to-end AI agents that automate scientific workflows in biotech R&D, from experiment design to data analysis and reporting. Requires full-stack experience (Python/React), strong product sense, and excitement about using LLMs to accelerate breakthroughs.
259k – 351k/yr
On-site2+ YOEFullstack Engineering
About the role
Responsibilities
Build end-to-end AI agents, prototyping and productionizing systems that automate scientific work, from experiment design to data analysis and reporting.
Work directly with customers to ideate use cases, gather feedback, build evaluations, and onboard scientific teams.
Engineer across the stack, from developing new LLM-powered primitives to shipping intuitive user interfaces inside Benchling’s applications.
Continuously improve our agent platform, contributing to frameworks, tooling, and infrastructure that accelerate future agent development.
Shape how we build AI at Benchling, driving experimentation, contributing to technical direction, and helping evolve our engineering and product development practices as the field matures.
Qualifications
2+ years of professional software engineering experience, building and maintaining production systems.
Experience across the stack, comfort working with backend systems (Python or similar languages) and modern frontend frameworks (React or equivalent).
Strong product sense, with the ability to iterate quickly and refine solutions based on user feedback and data.
Curiosity and excitement about LLMs and AI agents, and a desire to shape how they can transform scientific research.
Collaborative mindset, able to work closely with engineers, product managers, and scientists to bring new ideas to life.
Desire to work in a fast-paced environment, where priorities can shift and rapid experimentation is encouraged.
Interest in learning about biotechnology (no prior knowledge required, just a willingness to learn and adapt).
Skills
PythonReactLLMsAI AgentsBackend DevelopmentFrontend Development
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