Backend Engineer at FutureHouse, Inc.

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Dec, 25

Salary

175000.0

Posted On

27 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Software Engineering, API Design, Database Management, Cloud Infrastructure, Containerization, CI/CD Pipelines, Automated Testing, Monitoring, Observability, Python, Node.js, PostgreSQL, MySQL, MongoDB, Docker, Kubernetes

Industry

Biotechnology Research

Description

About FutureHouse, a philanthropically funded AI research lab in San Francisco, laid the groundwork for AI agents capable of autonomously performing scientific research to accelerate basic discovery in biology. Edison Scientific, a spinout of FutureHouse, now carries this mission forward to build an AI Scientist-scaling the research, productizing it, and applying it to critical challenges such as drug development. We are pioneering a new category: bringing AI Scientists to an industry accustomed to buying drug assets, not artificial intelligence. To succeed, we need entrepreneurial leaders who can combine strategic thinking, customer empathy, technical fluency, and relentless execution to bring this vision to market. Role As a Backend Engineer, you’ll support our core platform that automates scientific discovery. You will design and build data pipelines, APIs, and infrastructure. Our mission is to build an AI scientist, and you’re helping build the tools and data it will use. By enabling scalable, reliable, and secure backend systems, you’ll be building the foundation that fuels breakthrough science. At FutureHouse, backend engineering isn’t just about servers and databases- it’s about accelerating humanity’s ability to ask bigger questions and find answers faster. Responsibilities Design, implement, and maintain APIs, services, and databases scientific discovery platform. Implement monitoring, observability, and automated testing to maintain reliability and uptime. Troubleshoot and squash bugs. Collaborate with front-end, design, and research teams to build new AI agents and services. Be a member of a professional software engineer team working at the frontier of AI for science. Qualifications 3+ years of experience in backend software engineering High proficiency in one or more backend languages (e.g., Python, Node.js, etc.) Strong experience designing and building APIs (REST, GraphQL) Proficiency in databases (PostgreSQL, MySQL, MongoDB, or similar), with an understanding of schema design and query optimization Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerization/orchestration tools (Docker, Kubernetes) Hands-on experience with CI/CD pipelines, automated testing, and monitoring/observability tools (e.g., Prometheus, Grafana, Datadog) Based in the San Francisco Bay Area or willing to relocate. Bonus points for: Experience with scientific computing, large-scale data pipelines, or ML/AI infrastructure Location: San Francisco, CA (In-Person) Base Salary Range: $140,000- $175,000 (depending on experience)

Responsibilities

As a Backend Engineer, you will design and build data pipelines, APIs, and infrastructure for our scientific discovery platform. You will enable scalable, reliable, and secure backend systems that support the development of AI scientists.