Software Engineer, Agents

Role Overview

We’re a team focusing on shipping AI agents for scientists, helping them automate toil and accelerate breakthroughs. Our agents automate many parts of scientific work that take hours to weeks today: designing experiments, capturing data, analyzing data, and writing complex reports. As an engineer on the team, you’ll build these agents end-to-end, from designing the agent architecture to shipping intuitive interfaces for the agents within our scientific applications.

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

• 3+ 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).

Interview Process Note

As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role.

How We Work

This is an in-person team in San Francisco built around collaborating in the office in a fast-paced environment. We’re in the office Monday through Friday.