AI Platform Engineer, Backend

11 months ago

H1B sponsor

Responsibilities

Own backend systems end to end, from architecture and implementation through deployment and long-term maintenance.
Design modular, reusable APIs and backend architectures for enterprise and government uptime expectations.
Break down complex problems into technical designs and ship production-ready systems.
Improve latency, throughput, and cost efficiency through profiling and system-design iteration.
Collaborate with Product, ML, Infrastructure, and customer-facing teams to build reliable, intuitive, and developer-friendly systems.

At least 3 years of experience building production systems.
Strong distributed-systems fundamentals, including consistency, availability, failure modes, retries, and idempotency.
Deep proficiency in Go, TypeScript, Rust, Python, or a similar programming language.
Experience designing from first principles and building shared infrastructure, internal platforms, or developer-facing services.
Experience owning services with uptime responsibility, observability tooling, and incident response.
Track record designing, operating, and evolving APIs and services at scale.
Experience with AI/ML platforms, inference systems, or data-intensive pipelines is a plus.
Familiarity with Kubernetes and cloud-native service deployment is a plus.
Exposure to multi-tenant, regulated, or government environments is a plus.
Experience with real-time or streaming data systems is a plus.

11-50 employees

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