Member of Technical Staff, AI Full-Stack Engineer
Edison Scientific2 months ago
Boston, MA, USA +2 moreMid Level
H1B sponsor
Base Salary
$175k - $240k/yr
Responsibilities
- Design, implement, and maintain backend services, APIs, and databases for the scientific discovery platform.
- Contribute to frontend features and workflows with design and frontend teammates.
- Build and extend data pipelines supporting AI agents and research workflows.
- Implement monitoring, observability, and automated testing for reliability and uptime.
- Troubleshoot cross-stack issues and proactively improve system quality.
- Collaborate with engineering, design, and research teams to deliver AI-driven features and services.
Requirements
- Software engineering experience spanning backend and frontend development.
- Strong proficiency in at least one backend language, with Python required for the interview process.
- Experience designing and consuming APIs, including FastAPI and REST; GraphQL is a plus.
- Familiarity with React, Next.js, or similar frontend frameworks and modern web development practices.
- Working knowledge of PostgreSQL, MySQL, MongoDB, or similar databases.
- Experience with version control, CI/CD pipelines, and basic automated testing.
- Preferred: experience with data-heavy systems, scientific tooling, ML/AI-adjacent platforms, startups, or small teams with end-to-end ownership.
Benefits
- $175,000-$240,000 salary plus equity.
- Full healthcare coverage with 100% of premiums paid for employees and dependents.
- Yearly new parent stipend and fertility coverage through Carrot.
- Mental health support through Rula.
- 12 weeks of paid parental leave for maternity, paternity, and adoption.
- Yearly employer-funded pet care stipend.
- Commuter benefits for transit and parking.
- 401(k) company matching.
- $300 quarterly health and wellness benefit.
- Free lunch in the office and dinner when working late.
- Regular team off-sites and company events.
Tech Stack
Categories
About Edison Scientific
Edison Scientific builds AI scientist agents and an R&D platform (Kosmos) for pharma, biotech, and materials teams, integrating with organizations’ proprietary data to guide experiments and analysis from discovery through development. Headquartered in San Francisco and privately held, it was spun out of the nonprofit research lab FutureHouse in 2025, and offers enterprise deployments—including bring-your-own-cloud installations—to meet compliance requirements at large research organizations.