Biotech AI Agent Engineer

Benchling, Inc.; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Benchling, Inc. in San Francisco is building AI agents to automate scientific workflows, from experiment design to data analysis and reporting. As an engineer on the team, you’ll ship end-to-end AI agents inside Benchling’s applications and iterate with customers.

This in-person role requires collaborating with product managers, scientists, and other engineers in a fast-paced environment, with early-stage experimentation and rapid direction changes to shape the future of AI in biotech.

Qualifications

• 3+ years of professional software engineering experience in production systems.
• Front-end and back-end experience with modern stacks (Python, React, etc.).
• Strong product intuition and ability to iterate from user feedback.

Responsibilities

• Build end-to-end AI agents, prototyping and productionizing systems for 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 LLM-powered primitives to shipping intuitive interfaces inside Benchling’s apps.
• Continuously improve our agent platform, contributing to frameworks, tooling, and infra.
• Shape how we build AI at Benchling by guiding experimentation and technical direction.

Skills

3+ years of professional software eng

Experience across the stack

Strong product sense

Curiosity about LLMs and AI agents

Collaborative mindset

Desire to work in fast-paced env

Interest in biotechnology

Job description

Benchling, Inc. in San Francisco is building AI agents to automate scientific workflows, from experiment design to data analysis and reporting. As an engineer on the team, you’ll ship end-to-end AI agents inside Benchling’s applications and iterate with customers.

This in-person role requires collaborating with product managers, scientists, and other engineers in a fast-paced environment, with early-stage experimentation and rapid direction changes to shape the future of AI in biotech.