Senior AI Platform Engineer – Scale & Observability

Fdetimes; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Snorkel AI is hiring senior/staff software engineers to build the infrastructure powering large-scale AI experiments and agentic workloads. You will work on synthetic data pipelines, evaluation environments, and distributed compute across cloud platforms to enable scalable AI development.

The role emphasizes reproducibility, observability, and performance, with collaboration across research, product, and engineering to deliver robust platform capabilities.

Qualifications

• Five+ years building production software systems, including AI/ML infrastructure

Responsibilities

• Design and build infrastructure for large-scale agentic workloads and AI experiments
• Develop synthetic data generation, evaluation pipelines, and orchestration systems
• Create reliable LLM infrastructure for routing, caching, and multi-provider execution
• Instrument workloads for observability, tracing, latency, and cost
• Collaborate with research, product, and engineering teams to turn experiments into platform capabilities
• Improve developer experience with APIs, SDKs, and workflows

Skills

Python

Distributed systems

Cloud platforms (AWS)

APIs & developer tooling

Observability & debugging

AI/ML infrastructure

Workflow frameworks (Prefect, Airflow,

Tools

Prefect

Airflow

Dagster

Ray

Kubernetes

Job description

Snorkel AI is hiring senior/staff software engineers to build the infrastructure powering large-scale AI experiments and agentic workloads. You will work on synthetic data pipelines, evaluation environments, and distributed compute across cloud platforms to enable scalable AI development.

The role emphasizes reproducibility, observability, and performance, with collaboration across research, product, and engineering to deliver robust platform capabilities.