Member of Technical Staff, Applied AI Engineer

Edison Scientific • San Francisco, CA

1d

About The Position

Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. The Applied AI Engineer joins the team responsible for building Edison’s AI agents, including Kosmos. The role owns the development and maintenance of production agents, prototypes new capabilities with internal science and engineering teams, and helps shape the evolution of the platform. The engineer also spends approximately 30% of their time with R&D partners, learning real workflows and validating what they build; the primary focus is improving the agents’ capability, reliability, and usefulness across the life sciences.

Requirements

• Typically, 4 or more years of professional software engineering experience, including production experience shipping systems that real users depend on.
• Experience building LLM-powered tools or applications, including prompting, context engineering, agent architectures, and 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 the ability to pick up new tools and frameworks quickly.
• Ability to work across engineering, science, and product teams.
• Comfort building from scratch, creating clarity in ambiguous situations, and wearing multiple hats.

Nice To Haves

• Experience in life sciences, biomedical research, scientific computing, or technical R&D workflows.
• Experience building agent systems, tool-use pipelines, or evaluation and benchmarking frameworks for AI applications.
• Contributions to open-source scientific or AI tooling.

Responsibilities

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

Benefits

• Competitive salary and equity.
• Full healthcare coverage, with 100% of premiums paid for the employee and dependents.
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot.
• Mental health support through Rula, an in-network therapist and psychiatrist network with fast availability.
• 12 weeks of paid parental leave for maternity, paternity, and adoption.
• Pet care support with a yearly employer-funded stipend.
• Commuter benefits for transit and parking, paid with pre-tax dollars.
• 401(k) company matching.
• $300 quarterly health and wellness benefit.
• Lunch on office days and dinner when working late.
• Regular team off-sites and company events.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed