Edison Scientific

Principal Full-Stack Engineer

🇺🇸 San Francisco, Vereinigte Staaten Vor Ort IT Lead Veröffentlicht Mai 29, 2026
Standort San Francisco, Vereinigte Staaten
Arbeitsort Vor Ort
Seniorität Lead
Kategorie IT
IT-Kategorie Full-Stack Engineer
Gehalt USD 200,000 - 350,000 / yearly
Sprache English
Veröffentlicht 29. Mai 2026
Zuletzt geprüft 31. Mai 2026

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Principal Full-Stack Engineer at Edison Scientific: San Francisco, Vereinigte Staaten; Vor Ort; Lead; IT; Full-Stack Engineer. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: San Francisco, Vereinigte Staaten, Vor Ort
  • Role classification: IT, Full-Stack Engineer, Lead
  • Employer salary shown on the listing: USD 200,000 - 350,000 / yearly
  • Source freshness: checked by JobGrid on 2026-05-31.
About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As a Principal Full-Stack Engineer (Backend-Focused) you’ll play a key role in shaping and scaling our core platform that automates scientific discovery. You’ll work across the stack, with a strong emphasis on backend systems- designing and evolving services, APIs, data pipelines, and infrastructure- while also contributing to critical user-facing workflows.

Our mission is to build an AI scientist, and you’ll help define and build the tools, interfaces, and data systems it relies on. This role goes beyond implementation: you’ll influence architectural direction, establish engineering best practices, and partner closely with frontend engineers, designers, and researchers to deliver robust, end-to-end solutions.

At Edison Scientific, full-stack engineering at the senior level is about technical ownership and leverage- understanding how complex systems interact, making sound architectural tradeoffs, and building foundations that allow teams and science to move faster.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Platform team.

Responsibilities
  • Architect, design, implement, and maintain backend services, APIs, and databases that power the scientific discovery platform.

  • Drive technical decisions across the stack, balancing scalability, reliability, security, and developer velocity.

  • Lead the design and evolution of data pipelines supporting AI agents and research workflows.

  • Contribute to and review frontend features and workflows, ensuring seamless integration with backend systems.

  • Establish and uphold best practices around testing, monitoring, observability, and incident response.

  • Troubleshoot complex, cross-system issues and guide others through effective debugging and remediation.

  • Collaborate closely with engineering, design, and research teams to scope, plan, and ship new AI-driven capabilities.

  • Mentor and support other engineers, raising the technical bar and fostering a strong engineering culture.

  • Act as a trusted technical partner in a highly collaborative team working at the frontier of AI for science.

Qualifications
  • 5+ years of professional software engineering experience, with significant experience across backend systems and full-stack development.

  • Deep proficiency in one or more backend languages (e.g., Python, Node.js), with a strong track record of designing production systems.

  • Extensive experience designing, building, and evolving APIs (FastAPI, REST; GraphQL a plus).

  • Strong working knowledge of modern frontend frameworks (e.g., React, Next.js) and how frontend and backend systems interact at scale.

  • Expertise with relational and/or document databases (PostgreSQL, MySQL, MongoDB, or similar), including schema design and performance considerations.

  • Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerized environments (Docker; Kubernetes preferred).

  • Proven experience building and maintaining CI/CD pipelines, automated testing strategies, and observability systems.

  • Ability to operate autonomously, make sound technical judgments, and drive projects from concept through production.

  • Strong communication skills and experience collaborating across disciplines in fast-moving environments.

Bonus points for
  • Experience with data-intensive platforms, scientific computing, or ML/AI infrastructure.

  • Prior experience in startups or small teams with significant architectural ownership and ambiguity.

  • Experience scaling systems, teams, or platforms through periods of rapid growth.

Salary

$200,000- $350,000 • Offers equity

Why join us?
  • Competitive salary and equity

  • Full healthcare coverage — we pay 100% of premiums for you and your dependents

  • Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot

  • 401(k) company matching

  • $300 health and wellness benefit

  • Lunch is on us every day you're in the office, and dinner is on us when you're working late

  • Regular team offsites and company events

  • A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it