Principal AI-Native Engineer
I
Ionic PartnersAI / Software Engineering
Argentina / Brazil / Colombia / Mexico / Chile / Uruguay / El Salvador, AsynchronousFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 8+ years of hands-on software engineering experience
- Required Skills
- Software EngineeringLLMCRM
Requirements
- Bachelor's degree in CS, Engineering, or equivalent practical experience.
- 8+ years of hands-on software engineering experience building and operating production systems.
- 3+ years building AI-Native or agentic systems that reached production and were used for real work.
- Demonstrated end-to-end ownership: designing, building, shipping, operating, and improving systems.
- Experience integrating AI systems with business platforms like CRMs, ERPs, and data warehouses.
- Experience designing and running evaluations for non-deterministic systems and building eval harnesses.
- Experience operating LLM-based systems in production, including tracing, guardrails, and cost management.
- Experience becoming productive quickly inside large, complex codebases and extending them safely.
- Experience working from specifications set by domain experts outside your own area of expertise.
- Experience with platform, infrastructure, or developer-tooling work.
- Ability to operate from intent rather than instruction in genuine ambiguity.
- Strong judgment in weighing speed, reliability, and maintainability.
Responsibilities
- Partner with subject-matter experts to turn functional specs into agentic system designs.
- Design agent architectures including boundaries, control flow, tool surfaces, and state management.
- Build, ship, and operate production agentic systems end to end.
- Extend and harden the in-house orchestration framework to improve future builds.
- Improve automated development and QA agents within the engineering pipeline.
- Create and maintain machine-readable context artifacts for products and operations.
- Design retrieval and context-assembly strategies, treating prompting as versioned, tested engineering.
- Integrate systems with business platforms like CRMs, ERPs, and data warehouses.
- Build eval harnesses, baselines, and regression suites to define and measure success.
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