Staff AI Engineer — Lead Production AI & Platform

Jobgether

New Zealand

On-site

NZD 180,000 - 240,000

Full time

7 days ago
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Benefits offered by this job

Competitive salary package
Production AI solutions used by real‑d
Architectural influence on AI platform

Job summary

Jobgether is seeking a Staff AI Engineer in New Zealand to lead production-grade AI initiatives and shape the AI platform. You will mentor teams, drive architectural decisions, and deliver reliable AI agents and integrations.

The role blends hands-on engineering with strategic influence across Product, Design, QA, and Operations. You will build scalable AI infrastructure, establish evaluation frameworks, and maintain high-quality, secure systems for real users while guiding best practices and

Qualifications

  • Proven track record of leading complex AI initiatives as an IC or lead engineer.
  • Experience designing, building, and deploying production-grade AI/LLM applications used by customers.
  • Strong backend/platform engineering skills with Python and Django.

Responsibilities

  • Lead design and delivery of major AI initiatives and features.
  • Contribute to production AI systems and improve architecture and workflows.
  • Drive AI quality, reliability, and performance through robust evaluation and monitoring.
  • Own major AI projects from planning to deployment and optimization.
  • Define architectural standards and shared platform infrastructure for AI.

Skills

Python
Django
LLM applications
AI evaluation frameworks
Leadership

Tools

PostgreSQL
Redis
REST APIs
GraphQL

Job description

Jobgether is seeking a Staff AI Engineer in New Zealand to lead production-grade AI initiatives and shape the AI platform. You will mentor teams, drive architectural decisions, and deliver reliable AI agents and integrations.

The role blends hands-on engineering with strategic influence across Product, Design, QA, and Operations. You will build scalable AI infrastructure, establish evaluation frameworks, and maintain high-quality, secure systems for real users while guiding best practices and

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