Staff AI Engineer - Lead Production AI & Architecture

Mistral; Canberra; On-site; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary package

Production AI solutions used by real‑x

Architectural influence in major AI決策

Job summary

Mistral is seeking a Staff AI Engineer based in Australia to lead high‑impact AI initiatives, shape architecture, and deliver production‑grade AI solutions. You will influence across engineering teams, implement scalable AI platforms, and drive evaluation and monitoring frameworks to ensure reliability.

You will collaborate with Product, Design, QA, and Operations to translate business needs into robust technical solutions while maintaining a pragmatic, measurement‑driven approach to AI

Qualifications

• Extensive software engineering leadership at Staff Engineer level or equivalent.
• Proven experience designing, building, and deploying production‑grade LLM apps and AI agents.
• Strong ability to influence architectural decisions and drive engineering standards across teams.

Responsibilities

• Lead major AI initiatives from design through deployment across cross‑functional teams.
• Develop production AI systems and improve architecture and workflows.
• Strengthen AI quality through automated evaluations, tracing, and monitoring.

Skills

LLM applications

AI evaluation frameworks

Python

Django

API design

System architecture

Cross‑functional leadership

Performance optimization

Security and reliability

Code quality and testing

Tools

Python

Django

PostgreSQL

Redis

REST/GraphQL APIs

Job description

Mistral is seeking a Staff AI Engineer based in Australia to lead high‑impact AI initiatives, shape architecture, and deliver production‑grade AI solutions. You will influence across engineering teams, implement scalable AI platforms, and drive evaluation and monitoring frameworks to ensure reliability.

You will collaborate with Product, Design, QA, and Operations to translate business needs into robust technical solutions while maintaining a pragmatic, measurement‑driven approach to AI