SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. The company is run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
You will join the team responsible for building Edison's AI agents, specifically working on Kosmos, the company's AI scientist agent. In this role, you will own the development and maintenance of production agents, prototype new capabilities with internal science and engineering teams, and shape how the platform evolves. Approximately 30% of your time will be spent with R&D partners to understand real workflows, validate what you're building, and bring field insights back to the team. Your primary focus is on making agents more capable, more reliable, and more useful across the life sciences.
Key responsibilities include:
- 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 new agent architectures, prompting strategies, tool integrations, and evaluation frameworks
- Develop reusable infrastructure such as agent skills, tool-use pipelines, and benchmarks that improve every agent on the platform
- Spend time with R&D partners to understand workflows, test solutions in real environments, and translate insights into product direction
- Help the team prioritize what to build next based on field insights and internal research
REQUIREMENTS:
- 4+ years of professional software engineering experience with 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 comfort picking up new tools and frameworks quickly
- Ability to work across engineering, science, and product teams
- Comfortable building from scratch, driving clarity in ambiguous situations, and wearing multiple hats
PREFERRED QUALIFICATIONS:
- 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
