Full-Stack Engineer ( I / II )
About The Position
About Edison Scientific focuses on building and commercializing AI agents for science, and shares FutureHouse’s mission to build an AI Scientist - scaling autonomous research, productizing it, and applying it to critical challenges such as drug development. Role As a Full-Stack Engineer (Backend-Focused), you’ll help build and support our core platform that automates scientific discovery. You’ll work across the stack- designing and building backend services, APIs, and data pipelines, while also contributing to user-facing features that make those capabilities accessible and intuitive. Our mission is to build an AI scientist, and you’ll help build the tools, interfaces, and data systems it relies on. While this role leans heavily toward backend engineering, you’ll regularly collaborate with frontend engineers, designers, and researchers to deliver end-to-end functionality. At Edison Scientific, full-stack engineering isn’t about doing “a little bit of everything.” It’s about owning features from concept to production, understanding how systems fit together, and building reliable foundations that accelerate humanity’s ability to ask bigger questions- and find answers faster.
Requirements
- 2-5 years of software engineering experience, with exposure to both backend and frontend development.
- Strong proficiency in at least one backend language (e.g., Python, Node.js), with an interest in deepening backend expertise.
- Experience designing and consuming APIs (FastAPI, REST; GraphQL a plus).
- Familiarity with frontend frameworks (e.g., React, Next.js, or similar) and modern web development practices.
- Working knowledge of relational or document databases (PostgreSQL, MySQL, MongoDB, or similar).
- Exposure to cloud infrastructure (AWS, GCP, or Azure) and containerized environments (Docker; Kubernetes a plus).
- Experience with version control, CI/CD pipelines, and basic automated testing.
- Strong curiosity, a growth mindset, and eagerness to learn in a fast-moving environment.
Nice To Haves
- Experience with data-heavy systems, scientific tooling, or ML/AI-adjacent platforms.
- Prior work in startups or small teams with end-to-end ownership.
Responsibilities
- Design, implement, and maintain backend services, APIs, and databases that power the scientific discovery platform.
- Contribute to frontend features and workflows, partnering closely with design and frontend teammates to deliver cohesive user experiences.
- Build and extend data pipelines that support AI agents and research workflows.
- Implement monitoring, observability, and automated testing to ensure system reliability and uptime.
- Troubleshoot issues across the stack and proactively improve system quality.
- Collaborate with engineering, design, and research teams to ship new AI-driven features and services.
- Grow as a software engineer within a highly collaborative team working at the frontier of AI for science.
Benefits
- In addition to base pay, team members are eligible for equity, benefits, and other perks.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
