Quick Summary
Who are we? At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk.
As our AI & Automation Engineer, you will democratise AI and automation across UpGuard. Your mission is to build critical n8n workflows and develop domain-specific LLMs that make every UpGuardian more productive. The role will report to the Head of A3 (Automation, AI and Analytics).
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Develop production-grade integration and automation solutions - Design and implement production-ready automation workflows that integrate cloud services, internal data sources, and LLM endpoints.
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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.
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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.
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Enable widespread adoption - Run hands-on workshops, provide ongoing support, and mentor teammates so anyone at UpGuard can leverage AI and automation tools effectively.
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Embed security & governance - Bake privacy, compliance, and cost controls into every workflow and model deployment, ensuring enterprise-grade reliability and data protection.
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Python & SQL: delivered production systems that handle real data and users
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Workflow orchestration: hands-on experience with automation platforms (n8n preferred. Experience with Airflow, Zapier, or other similar platforms is still valid)
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AI/LLM experience: Demonstrated experience leading AI/ML projects from conception to production
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Clear communicator: translate technical concepts for non-technical stakeholders and gather business requirements
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Vector/RAG expertise: experience with embeddings, vector databases, or retrieval patterns
- Training mindset: created documentation, tutorials, or enabled others to use technical tools
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Cloud platform experience: deployed and managed systems on GCP, AWS, or Azure
Location & Eligibility
Listing Details
- Posted
- May 18, 2026
- First seen
- May 18, 2026
- Last seen
- May 18, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 76%
- Scored at
- May 18, 2026
Signal breakdown

At UpGuard, we're building cybersecurity products that help organizations protect their information and prevent data breaches.
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