Principal Platform Engineer — Reproducible AI Infrastructure

esqLABs GmbH; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Flexible hours

Home office policy

Team gatherings across Europe

Job summary

esqLABs GmbH is seeking a senior platform/infrastructure engineer to design and build the AI agent platform infrastructure for reproducible scientific modeling workflows. You will own release engineering, CI/CD, and secure, multi-tenant operations across deployments, with a focus on policy controls and toolchains.

The role emphasizes delivering a versioned API, agent-facing tools, and a robust, auditable execution environment for scientific software in a flexible work setup across Europe.

Qualifications

• At least five years of platform, infrastructure, or backend engineering experience.
• Experience with reproducible builds, dependency pinning, artifacts hashing, and software supply chain integrity.
• Strong Python skills; familiarity with R and scientific computing toolchains.

Responsibilities

• Make the scientific compute core reproducible through pinned toolchains and content-addressed images.
• Build the agent harness with routing, policy controls, sandboxing, usage metering, and provenance records.
• Provide a versioned API and agent-facing tools for re-running results outside the platform.
• Operate CI evaluations for conformance, re-execution, and regression; manage results by version.
• Own release engineering and operations: CI/CD, signed releases, and installation qualification.
• Implement security controls supporting multi-tenant isolation, secrets, and authorization.

Skills

Python

R

Containers

CI/CD

Kubernetes

APIs

Tools

Terraform

Docker

Git

Job description

esqLABs GmbH is seeking a senior platform/infrastructure engineer to design and build the AI agent platform infrastructure for reproducible scientific modeling workflows. You will own release engineering, CI/CD, and secure, multi-tenant operations across deployments, with a focus on policy controls and toolchains.

The role emphasizes delivering a versioned API, agent-facing tools, and a robust, auditable execution environment for scientific software in a flexible work setup across Europe.