Responsibilities

Edison Scientific builds and commercializes AI agents for science, and they are seeking an Applied AI Engineer to join their team. The role involves developing and maintaining production AI agents, collaborating with internal teams, and engaging with customers to enhance the capabilities of their platform. 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: 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 Required Skills: Software Engineering, Production system development, LLM-powered tools, Prompting, Context engineering, Agent architectures, Evaluation frameworks, Python, TypeScript, Life sciences, Biomedical research, Scientific computing, Clarity in ambiguous situations, Cross-team collaboration