Experienced Ai Engineer

Studiosity

Sydney

On-site

AUD 150,000 - 210,000

Full time

13 days ago

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Job summary

Studiosity, Australia-based AI-first Ed-Tech company, is seeking an experienced AI Engineer to join the Product Platform team in Sydney. Reporting to the Head of AI, you will lead the experimentation, design and development of market-leading generative AI education solutions.

You will evolve AI guardrails and quality systems to ensure safe, ethical feedback, supporting learning outcomes. You will shape the product experience and responsible AI principles, mentor engineers, and apply modern AI

Qualifications

  • 3+ years of experience designing, building, and operating scalable AI pipelines across data collection, evaluation, deployment, and monitoring.
  • 2+ years of commercial experience working on NLP, large language models, or document understanding/analysis applications.
  • Strong understanding of machine learning fundamentals, model evaluation, data preprocessing, and robust software engineering practices.
  • Experience developing intelligent search systems and/or anomaly detection algorithms is a plus.
  • Experience with cloud platforms (e.g., AWS, GCP, or Azure) and associated AI/ML services.
  • Demonstrated ability and enthusiasm for mentoring and guiding engineers, fostering growth and technical excellence across the team.
  • Demonstrated active use of modern AI tools in the development process is expected.
  • Experienced with Python.

Responsibilities

  • Leading the experimentation, design and development of market-leading generative AI education solutions.
  • Evolving AI guardrails and quality systems to ensure safe, ethical feedback and pedagogically sound outcomes.
  • Shaping the product experience and the principles underpinning responsible AI in education.

Skills

AI pipelines
NLP/LLM
Python programming
ML fundamentals
Cloud knowledge

Tools

AWS
GCP
Azure
Python

Job description

Studiosity is Australia-based and AI-first Ed-Tech, solving the question of how to teach thinking in the age of commoditized intelligence.

An exciting opportunity exists to join one of the fastest growing and most innovative companies in the dynamic education technology sector. Studiosity reaches over 1.8 million students across the UK, USA, Canada, Australia, NZ, UAE and beyond.

What you will do

Reporting to the Head of AI, you will join our Product Platform team as an experienced AI Engineer, leading the experimentation, design and development of market-leading generative AI education solutions. Your work will directly support our mission to improve life chances for students everywhere.

A critical part of your work will be evolving our AI guardrails and quality systems, ensuring that all AI-generated feedback is safe, ethical, pedagogically sound, and supports learning outcomes. You’ll help shape the product experience and the principles that underpin responsible AI in education.

About you

You are an experienced AI Engineer with strong foundations in machine learning, software engineering, and modern generative AI techniques.

  • 3+ years of experience designing, building, and operating scalable AI pipelines across data collection, evaluation, deployment, and monitoring.
  • 2+ years of commercial experience working on NLP, large language models, or document understanding/analysis applications.
  • Strong understanding of machine learning fundamentals, model evaluation, data preprocessing, and robust software engineering practices.
  • Experience developing intelligent search systems and/or anomaly detection algorithms is a plus.
  • Experience with cloud platforms (e.g., AWS, GCP, or Azure) and associated AI/ML services.
  • A demonstrated ability and enthusiasm for mentoring and guiding engineers, fostering growth and technical excellence across the team.
  • Demonstrated active use of modern AI tools in the development process is expected.
  • Experienced with Python.
Why Studiosity?

Studiosity is an amazing place to work: in addition to our noble purpose of increasing life chances for students, we benefit from a low ego, non-corporate and lifestyle-friendly work ethic and culture. Our passion for lifelong learning means everyone stays results-driven and proud of the work they deliver every day.

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