AI and Automation Engineer

UpGuard

AI & Automation Engineer democratizing AI and automation across UpGuard. Building workflows and developing domain-specific LLMs for productivity enhancement.

Posted 5/18/2026full-timeRemote • California, Colorado, District of Columbia, Florida, Illinois, Louisiana, Maryland, Massachusetts, Montana, Oregon, Pennsylvania, Texas, Washington • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Develop production-grade integration and automation solutions: Design and implement production-ready automation workflows that integrate cloud services, internal data sources, and LLM endpoints.
Lead 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.
Establish 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.
Enable widespread adoption: Run hands-on workshops, provide ongoing support, and mentor teammates so anyone at UpGuard can leverage AI and automation tools effectively.
Embed security & governance: Bake privacy, compliance, and cost controls into every workflow and model deployment, ensuring enterprise-grade reliability and data protection.

Requirements

What you’ll need

Python & SQL: delivered production systems that handle real data and users
Workflow orchestration: hands-on experience with automation platforms (n8n preferred. Experience with Airflow, Zapier, or other similar platforms is still valid)
AI/LLM experience: Demonstrated experience leading AI/ML projects from conception to production
Clear communicator: translate technical concepts for non-technical stakeholders and gather business requirements
Vector/RAG expertise: experience with embeddings, vector databases, or retrieval patterns
Training mindset: created documentation, tutorials, or enabled others to use technical tools
Cloud platform experience: deployed and managed systems on GCP, AWS, or Azure

Benefits

Comp & perks

Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
$1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries.
18 weeks paid Parental Leave: Irrespective of parenting role
Personal Leave Allowance: This includes sick & carer’s leave
Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
Top-spec hardware: All team members will be provided with top-spec laptops for their role
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLworkflow orchestrationAI/MLembeddingsvector databasesretrieval patternsGCPAWSAzure

Soft Skills

clear communicatortraining mindsetmentoringdocumentation creationsupport provision