Principal AI-Native Systems Engineer

Medium

Mexico

On-site

PHP 10,956,000 - 15,825,000

Full time

14 days+

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Benefits offered by this job

Remote-first company culture
Stipend for home office setup
Flexible work hours
100% remote and global

Job summary

Ionic Partners is rebuilding operating systems for business functions with agentic systems that run in production, across multiple portfolio companies. You will join a central, flat team focused on shipping, operating, and improving agentic software that touches engineering, support, finance, and marketing functions.

You will inherit an in-house orchestration framework, structured context artifacts, and automated QA agents, and you will extend and harden these systems to scale across companies

Qualifications

  • 8+ years of hands-on software engineering building and operating production systems.
  • 3+ years building AI-Native or agentic systems in production.

Responsibilities

  • Design and build agentic systems that run real business functions in production.
  • Ramp into large production codebases and extend them safely.
  • Define eval harnesses, baselines, and monitoring for non-deterministic systems.
  • Collaborate with domain experts to translate specs into agentic architectures.
  • Ensure cost control, security boundaries, and auditability in production.

Skills

Software engineering
Production systems
AI-Native / agentic systems
LLM in production
Observability & tracing
Cost management
Security & compliance
Cross-domain collaboration

Education

Bachelor's degree or higher in CS/Engineering

Tools

Git
Kubernetes
CI/CD pipelines
Observability tooling

Job description

Ionic Partners is rebuilding operating systems for business functions with agentic systems that run in production, across multiple portfolio companies. You will join a central, flat team focused on shipping, operating, and improving agentic software that touches engineering, support, finance, and marketing functions.

You will inherit an in-house orchestration framework, structured context artifacts, and automated QA agents, and you will extend and harden these systems to scale across companies

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