Software Engineer (Agents)

• 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
• It’s early days for AI agents, both at Benchling and in the industry at large
• We’ll rapidly iterate with customers and change directions quickly, figuring out new patterns for how we develop and go to market
• We’ll win if we stay curious and obsess over our customers
• 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

Benefits

• Competitive salary and equity
• Robust healthcare benefits
• Family-forming benefits
• Four months of fully paid parental leave
• Retirement benefits

• 3+ years of professional software engineering experience, building and maintaining production systems
• Interest in learning about biotechnology (no prior knowledge required, just a willingness to learn and adapt)
• 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
• Curiosity and excitement about LLMs and AI agents, and a desire to shape how they can transform scientific research
• 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