UpGuard9 followers8 jobs

AI & Automation-Engineer

Mid levelFull-timeRemoteSydney NSW, AustraliaInformation technologySoftware engineeringPosted 1 day agoVerified 4 weeks ago
Pending fitX of Y criteria met

About the job

As an AI & Automation Engineer at UpGuard, you will embark on an exciting journey to democratise AI and automation across the organisation. Your work will empower every UpGuardian to be more productive by building critical workflows and developing domain-specific LLMs. Collaboration and innovation are at the heart of our team, where we strive to create world-class technology and support each other in achieving our goals.

Meet the team

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Think you're a good fit?See what the hiring team are looking for

You'll be responsible for

🔧

Developing production-grade integration and automation solutions

Design and implement production-ready automation workflows that integrate cloud services, internal data sources, and LLM endpoints.
📈

Leading the development and deployment of domain-specific LLMs

Fine-tune lightweight models on internal data from Gong, Notion, BigQuery, and other sources, then make them accessible to teams across the organisation through intuitive interfaces.
📚

Establishing best practices and patterns for AI and automation across the company

Create templates, documentation, and training materials that enable non-technical teams to build and deploy their own automation workflows confidently.

Key criteria

🐍

Python and SQL experience

Proven experience delivering production systems handling real data and users.

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🔄

Workflow orchestration expertise

Hands-on experience with automation platforms like n8n, Airflow, or Zapier.

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🤖

AI/ML project leadership

Demonstrated experience leading AI/ML projects from conception to production.

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A meaningful career starts with a match

View your fit

5 criteria for this job
Python and SQL experience
Proven experience delivering production systems handling real data and users.

View

Workflow orchestration expertise
Hands-on experience with automation platforms like n8n, Airflow, or Zapier.

View

AI/ML project leadership
Demonstrated experience leading AI/ML projects from conception to production.

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Clear communication skills
Ability to translate technical concepts for non-technical stakeholders.

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Cloud platform experience
Experience deploying and managing systems on GCP, AWS, or Azure.

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