AI Platform Backend. Engineer, Capabilities

5 months ago

H1B sponsor

Responsibilities

Design, build, deploy, operate, and maintain platform backend services and data pipelines for AI products.
Build ML experiment tracking, artifact management, and automated training and evaluation systems.
Engineer highly available, fault-tolerant systems with deep observability for strict uptime and latency requirements.
Design modular architectures and clean APIs while optimizing latency, throughput, and cloud compute costs.
Partner with engineering, product, and ML research teams to build shared platform capabilities and reduce AI product delivery bottlenecks.

At least 3 years of experience building and scaling production backend services or platforms.
Experience with languages common in the AI and data ecosystem, such as Python, Go, Rust, or C++.
Deep understanding of consistency, availability, distributed failure modes, and idempotency.
Ability to build intuitive, well-documented, maintainable APIs and shared platforms.
Experience owning services with uptime expectations, designing for observability, and participating in on-call responsibilities.
Ability to turn complex, open-ended problems into clear technical designs and production-ready systems.
Bonus: experience with ML experiment tracking, artifact management, model registries, or ML orchestrators.
Bonus: experience with high-throughput data pipelines, resilient asynchronous workflows, streaming platforms, or distributed compute frameworks.
Bonus: experience with SOC2, FedRAMP, highly regulated, air-gapped, or on-premise environments.

11-50 employees

We're building an AI platform and applications for the world's most important institutions. Learn more at https://brain.co/