Senior Backend Engineer, AI Platform

United States Digital Space LLC; New York (NY); On-site; USD 165,000 - 220,000; Full time

Job summary

The company is seeking an experienced backend/infrastructure engineer to join our AI Platform team. You will help build the substrate that powers data apps, model training, and vector search, collaborating with platform, infra, and ML teams to deliver end-to-end experiences.

Bring 5+ years in backend engineering, strong skills in Scala/Go/Python, and a product-minded approach to solving hard problems in distributed systems and cloud-native environments.

Qualifications

• 5+ years of experience in backend or infrastructure engineering.
• Strong programming skills in Scala, Go, or Python.
• Experience with distributed systems, scalable APIs, or cloud-native infrastructure.
• Familiarity with service-oriented architecture, deployment pipelines, and system observability.
• Strong product and ownership mindset — you care about building the right solution, not just any solution.

Responsibilities

• Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, the company Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.
• Improve reliability, latency, and efficiency of distributed AI workloads
• Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences
• Shape how developers and data scientists build and interact with AI on the company

Skills

Scala

Go

Python

Distributed systems

APIs

Cloud-native infrastructure

SOA

Deployment pipelines

Observability

Ownership mindset

Tools

SageMaker

Vertex AI

Azure ML

Job description

The company is seeking an experienced backend/infrastructure engineer to join our AI Platform team. You will help build the substrate that powers data apps, model training, and vector search, collaborating with platform, infra, and ML teams to deliver end-to-end experiences.

Bring 5+ years in backend engineering, strong skills in Scala/Go/Python, and a product-minded approach to solving hard problems in distributed systems and cloud-native environments.