Principal Full-Stack Engineer

Reposted 18 Days Ago
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San Francisco, CA, USA
In-Office
200K-450K Annually
Senior level
Artificial Intelligence • Software • Database
The Role
Lead backend-focused full-stack development for an AI-driven scientific discovery platform: design and maintain services, APIs, data pipelines, cloud infrastructure, CI/CD, observability, and frontend integrations; drive architecture, mentor engineers, and collaborate with research and design teams to deliver production-grade AI capabilities.
Summary Generated by Built In
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

Top Skills

AWS
Azure
Ci/Cd
Docker
Fastapi
GCP
GraphQL
Kubernetes
MongoDB
MySQL
Next.Js
Node.js
Postgres
Python
React
Rest
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The Company
HQ: San Francisco, California
47 Employees
Year Founded: 2025

What We Do

Spun out from FutureHouse in 2025, Edison Scientific accelerates discovery and innovation across the sciences. Our platform empowers researchers to move from question to breakthrough faster than ever, automating literature synthesis, data analysis, and molecular design. At its core is Kosmos, our AI scientist, capable of running hundreds of research tasks in parallel. It transforms raw datasets into comprehensive, validated reports—compressing months of work into a single run. With Edison Scientific, scientists remain in control, using AI to amplify their expertise and accelerate discovery at unprecedented speed.

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