Principal Fullstack Software Engineer (AI)

TL;DR

Principal Fullstack Software Engineer (AI): Designing, building, and optimizing full-stack systems for an AI-driven scientific platform with an accent on backend systems, UI, high-performance APIs, and databases. Focus on integrating advanced AI frameworks with complex scientific analytics and laboratory workflows, ensuring reliability and scalability across diverse data systems.

Location: San Francisco, CA, USA (Onsite)

Salary: $204,000 – $272,000 USD per year

Company

hirify.global is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science, focused on applying AI to accelerate scientific discovery.

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 front-end 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.
• Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8-15 years of engineering experience building and deploying large-scale systems in production, with strong expertise in either front-end or backend.
• Strong experience with React and Typescript is required.
• Strong experience with SQL, NoSQL, and emerging database technologies (e.g., Vector DBs); 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 is required.

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 scientific domains.
• Experience with orchestration tools (Flyte, Temporal, Airflow, Prefect, etc.).

Culture & Benefits

• Competitive base salary with bonus potential and generous early equity.
• Opportunity to build the next generation AI-driven scientific platform with real scientific impact.
• Collaborative environment working closely with ML researchers, platform engineers, and scientists.
• Commitment 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.