The Applied AI Engineer will architect, implement, and maintain AI agents for Edison's platform, collaborating with science and engineering teams and gathering insights from R&D partners to improve the agents' capabilities and reliability.
About
Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.
RoleWe're looking for an Applied AI Engineer to join the team responsible for building Edison's most powerful AI agents. Half of the public agents on our platform, including Kosmos, our flagship product, came directly out of this team.
You'll own the development and maintenance of production agents, prototype new capabilities with our internal science and engineering teams, and shape how our platform evolves. You'll spend some time with customers to understand real workflows and validate what you're building, but your primary focus is on the agents themselves – making them more capable, more reliable, and more useful across the life sciences.
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.
- 3+ 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.
- Experience in life sciences, biomedical research, scientific computing, or technical R&D workflows.
- Experience building agent systems, tool-use pipelines, or evaluation/benchmarking frameworks for AI applications.
- Contributions to open-source scientific or AI tooling.
$160,000 - $280,000 • Offers equity
Why join us?- Competitive salary and equity
- Full healthcare coverage — we pay 100% of premiums for you and your dependents
- Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
- 401(k) company matching
- $300 health and wellness benefit
- Lunch is on us every day you're in the office, and dinner is on us when you're working late
- Regular team offsites and company events
- A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it
Edison Scientific San Francisco, California, USA Office
San Francisco, California, United States, 94107
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