AI Agent Engineer — Build Production-Ready Scientist Tools

Edison Scientific; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Equity

Full healthcare coverage

Parental leave

Mental health support

401(k) matching

Commuter benefits

Team events

Job summary

Edison Scientific is seeking an Agent Engineer to join the team responsible for building Edison’s AI agents, Kosmos. You’ll own the development and maintenance of production agents, prototype new capabilities with internal science and engineering teams, and shape how our platform evolves.

You’ll spend time with customers to understand real workflows and validate what you’re building, but your primary focus is on the agents—making them more capable, reliable, and useful across the life sciences.

Qualifications

• Typically, 4+ years of professional software engineering experience, with production experience shipping systems that real users depend on.
• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
• Strong engineering foundation in Computer Science, Software Engineering, Mathematics, Physics, Data Science, or a related technical field.
• Proficiency in Python and/or TypeScript, with comfort picking up new tools and frameworks quickly.
• Able to work across engineering, science, and product teams.
• Comfortable building from scratch, driving clarity in ambiguous situations, and wearing multiple hats.

Responsibilities

• Architect, implement, and maintain the AI agents that power Edison’s platform, from prototype through production.
• Work with our internal science and engineering teams to explore new agent architectures, prompting strategies, tool integrations, and evaluation frameworks.
• Develop reusable infrastructure – agent skills, tool-use pipelines, benchmarks – that improves every agent on the platform.
• Spend time with R&D partners (~30%) to understand their workflows, test what you’ve built in real environments, and bring insights back to the team.
• Translate field insights and internal research into product direction – help the team prioritize what to build next.

Skills

Python

TypeScript

LLM prompting

Software engineering

Job description

Edison Scientific is seeking an Agent Engineer to join the team responsible for building Edison’s AI agents, Kosmos. You’ll own the development and maintenance of production agents, prototype new capabilities with internal science and engineering teams, and shape how our platform evolves.

You’ll spend time with customers to understand real workflows and validate what you’re building, but your primary focus is on the agents—making them more capable, reliable, and useful across the life sciences.