Agent Engineer
Edison ScientificAbout the role
About us
Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
The Role
We're looking for an Agent Engineer to join the team responsible for building Edison's AI agents. This team owns the development and design of our AI scientist agent, Kosmos.
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.
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.
Bonus points for
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.
Why join us?
We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it. We also offer full-time employees the following:
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
Mental health support through Rula, our 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 for your animal companions
Commuter benefits so you can pay for transit and parking with pre-tax dollars
401(k) company matching
$300 health and wellness benefit quarterly
Lunch is on us every day you're in the office, and dinner is on us when you're working late
Regular team off-sites and company events
Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Responsibilities
- Architect, implement, and maintain the AI agents that power Edison's platform
- Work with internal science and engineering teams to explore new agent architectures
- Develop reusable infrastructure that improves every agent on the platform
- Spend time with R&D partners to understand their workflows and test developments
- Translate field insights and internal research into product direction
Qualifications
- Typically, 4+ years of professional software engineering experience
- Experience building LLM-powered tools or applications
- Strong engineering foundation in Computer Science, Software Engineering, or related field
- Proficiency in Python and/or TypeScript
- Able to work across engineering, science, and product teams
Benefits
- Competitive salary and equity
- Full healthcare coverage; 100% of premiums paid for employees and dependents
- Support for growing families, including yearly new parent stipend
- Mental health support through in-network therapist and psychiatrist network
- 12 weeks of paid parental leave for maternity, paternity, and adoption
- Pet care support with yearly employer-funded stipend
- Commuter benefits for transit and parking
- 401(k) company matching
- $300 health and wellness benefit quarterly
- Lunch and dinner provided for in-office work
- Regular team off-sites and company events
Skills mentioned
About Edison Scientific
Edison Scientific is building the AI platform for scientific research and development. Kosmos, our AI scientist, collaborates with teams across the full R&D lifecycle, leveraging proprietary data and organizational context to help navigate complex scientific decisions and accelerate timelines from discovery to FDA approval. We believe the full gains from AI in science will only be realized when AI systems are integrated across the entire research and development stack, continuously learning from the evolving scientific context inside an organization. With Edison Scientific, scientists and researchers remain at the center of scientific progress, using AI to amplify their expertise and accelerate discovery at unprecedented speed. Edison is a scientist-led company that was spun out of the nonprofit research lab FutureHouse in 2025, backed by $70M from Spark Capital, Triatomic Capital, Susa Ventures, Pillar Ventures, among other investors.