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Edison Scientific

AI platform for scientific R&D workflows

Applied AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Typically, 4+ years of professional software engineering experience, including production experience shipping systems that real users depend on.
  • Experience building large language model-powered tools or applications, including prompting, context engineering, agent architectures, and evaluation frameworks.
  • A 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.
  • Ability to build from scratch, drive clarity in ambiguous situations, and handle multiple roles.

Responsibilities

  • Architect, implement, and maintain the AI agents that power the 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 every agent on the platform.
  • Spend approximately 30% of the time with research and development 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.

Desired Qualifications

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

About the Company

Edison Scientific

AI platform for scientific R&D workflows

Edison Scientific provides an AI-powered platform that unifies research tasks in one environment. It combines literature synthesis, data analysis, molecular design, and the creation of publication-ready figures and reports so researchers can move from hypothesis to validated results without switching between many tools. The platform uses natural language processing and machine learning to digest scientific literature and data, automate workflows, and run tasks in parallel to speed up discovery. Compared with competitors, Edison Scientific stands out by offering an integrated, end-to-end R&D workflow that links literature, data, and design in a single platform, reducing manual handoffs and enabling scalable research. The company’s goal is to streamline R&D processes, shorten the time to insight, and help organizations rapidly validate findings and publish their work.

Company size
51-200
Company stage
Seed
Total funding
$70M
Headquarters
San Francisco, CA
Founded
2025

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