Senior Backend Engineer: AI & Real-Time Systems

Superhuman Labs, Inc.

Northern (KY)

On-site

USD 120,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401(k) and RRSP matching
Paid parental leave
PTO + holidays

Job summary

Superhuman is building the AI productivity platform with a focus on the Mail experience. On the Mail team, backend engineers own real-time systems, AI layer integration, and scalable services that power agent orchestration and data pipelines.

You will collaborate with ML/AI, Product, and Front-End teams to ship AI-powered features end to end, and contribute to a culture emphasizing documentation, testing, and reliability.

Qualifications

  • 8+ years of back-end development experience.
  • Experience building, deploying, and debugging production systems at scale.
  • Experience with AWS or other cloud platforms (GCP, Azure).
  • Fluency with AI coding tools (Copilot, Cursor, Claude Code, etc.) and a perspective on how they change software development.
  • Experience with real-time systems, event-driven architectures, or high-throughput API design is a plus.
  • Deep understanding of CI/CD and infrastructure as code.

Responsibilities

  • Build and operate high-throughput production services powering AI agent orchestration and real-time data pipelines.
  • Design and build core platform services to enable scalable systems.
  • Collaborate with ML/AI, Product, and Front-End engineers to ship AI-powered features end to end.
  • Build and evolve infrastructure as code, ensuring high availability for all customers.
  • Contribute to an engineering culture with strong testing, reliability, and documentation.

Skills

Backend development
Distributed systems
AWS / GCP
CI/CD / IaC
Real-time data
AI tooling familiarity
Mentoring

Education

BS in Computer Science or related

Tools

AWS
Kubernetes
Terraform
SQL/NoSQL

Job description

Superhuman is building the AI productivity platform with a focus on the Mail experience. On the Mail team, backend engineers own real-time systems, AI layer integration, and scalable services that power agent orchestration and data pipelines.

You will collaborate with ML/AI, Product, and Front-End teams to ship AI-powered features end to end, and contribute to a culture emphasizing documentation, testing, and reliability.

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