Staff AI Engineer: Lead Production AI & Platform

AItoolnavio; Australia; Remote; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary package

Production AI solutions

Broad technical scope across AI stack

Architectural influence in decision‑n,

Autonomy and ownership at Staff level

Diverse, inclusive culture

Job summary

AItoolnavio is seeking a Staff AI Engineer based in Australia to lead the design, development, and delivery of major AI initiatives. You will influence architectural decisions, contribute to production AI systems, and drive improvements in AI quality and performance across teams.

You will establish scalable AI infrastructure, balance deterministic logic with LLM capabilities, and mentor engineers while collaborating with Product, Design, QA, and Operations to deliver measurable value to real

Qualifications

• Extensive software engineering leadership at Staff Engineer level or equivalent.
• Experience designing, building, deploying production-grade LLM apps, AI agents, or generative AI features used by real customers.
• Strong ability to influence architecture across teams and set engineering standards.
• Proven experience building AI evaluation frameworks with automated tests, agent traces, human feedback, and monitoring.

Responsibilities

• Lead design, development, and delivery of major AI initiatives (AI assistants, contextual data systems, generative AI features).
• Contribute to production AI systems from architecture to deployment and optimization.
• Improve AI quality, reliability, and performance with measurable enhancements.
• Own major AI projects from planning to cross-functional delivery.

Skills

Staff Engineer level

LLM applications

AI evaluation frameworks

Python

Django

REST APIs

GraphQL

Architectural leadership

Tools

PostgreSQL

Redis

Swagger/OpenAPI

CI/CD

Job description

AItoolnavio is seeking a Staff AI Engineer based in Australia to lead the design, development, and delivery of major AI initiatives. You will influence architectural decisions, contribute to production AI systems, and drive improvements in AI quality and performance across teams.

You will establish scalable AI infrastructure, balance deterministic logic with LLM capabilities, and mentor engineers while collaborating with Product, Design, QA, and Operations to deliver measurable value to real