Senior Fullstack Engineer (AI)

TL;DR

Senior Fullstack Engineer (AI): Designing, building, and optimizing backend systems for an AI-driven scientific platform with an accent on UI, services, high-performance APIs, databases, and reliability of services. Focus on integrating advanced AI frameworks with complex scientific analytics, laboratory workflows, and scaling diverse data systems.

Location: San Francisco, CA, USA

Salary: $144,000–$210,000 USD per year

Company

hirify.global is pioneering the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science, applying AI to every aspect of the scientific method.

What you will do

• Design and build high-performance, secure UI and APIs that integrate with AI-driven applications.
• Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs) for optimal performance and scalability.
• Drive the implementation of frontend and backend services, focusing on performance, maintainability, and reliability.
• Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
• Leverage AWS services, Kubernetes, and modern DevOps practices to build and deploy production-grade systems at scale.
• Collaborate with ML researchers, engineers, and scientists to integrate data pipelines and infrastructure into scientific workflows.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 2-6 years of engineering experience building and deploying large-scale systems in production.
• Strong experience with React and Typescript is required.
• Expertise in SQL, NoSQL, and emerging database technologies (e.g., Vector DBs), with a proven track record in schema design, indexing, and query optimization.
• Proven ability to design and scale RESTful or GraphQL APIs with a focus on reliability and performance.
• Hands-on experience using AI coding assistants to drive productivity.
• Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams.

Nice to have

• Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
• Experience working with life sciences, material sciences, or other research-heavy fields.
• Experience with orchestration tools (Flyte, Temporal, Airflow, Prefect, etc.).

Culture & Benefits

• Opportunity to impact humankind's greatest challenges in human health, climate, and sustainability.
• Generous early equity potential.
• Committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
• Environment to apply deep frontend and backend expertise to a cutting-edge AI platform with real scientific impact.