Backend Engineer - AI-Powered Systems (Hybrid NYC)

BranchFactor; New York (NY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Excellent health care

Disability and life insurance

401(k) and RRSP matching

Paid parental leave

20 days PTO + holidays + floating days

Home office stipends

Professional development budget

Job summary

Superhuman is building the AI productivity platform that works everywhere people do — and the back end is where the intelligence lives. Our Back-End engineers build services powering AI agents across the product suite, including Go-based scheduling and real-time infrastructure for Mail and Docs.

This role is backend work at the intersection of systems engineering and AI. You will design scalable services, history and scheduling components, APIs, and real-time pipelines, collaborating with ML/AI,

Qualifications

• 5+ years of back-end development experience.
• Experience deploying production systems at scale.
• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with AI-powered systems and ML pipelines.
• Proficient in real-time systems and API design.

Responsibilities

• Build and operate high-throughput production services for AI agent orchestration.
• Design core platform services: schedulers, session/history, APIs.
• Collaborate with ML/AI, Product, and Front-End engineers.
• Contribute to infrastructure as code and high availability.
• Mentor junior engineers and grow the team.

Skills

Backend development

Algorithms & DS

System design

AI tooling

CI/CD

Real-time systems

Independent work

Product instincts

Tools

Go

AWS / GCP / Azure

CI/CD

Real-time data pipelines

AI pipelines

Job description

Superhuman is building the AI productivity platform that works everywhere people do — and the back end is where the intelligence lives. Our Back-End engineers build services powering AI agents across the product suite, including Go-based scheduling and real-time infrastructure for Mail and Docs.

This role is backend work at the intersection of systems engineering and AI. You will design scalable services, history and scheduling components, APIs, and real-time pipelines, collaborating with ML/AI,