n8n Engineer – Process Automation, Integration & AI

Job title: n8n Engineer – Process Automation, Integration & AI Location: United Kingdom — remote/hybrid by agreement Contract type: Contract / fixed-term Duration: Initial 2-month contract, with extension subject to delivery and business requirements Hours: Full-time equivalent, ~40 hours/week, with sufficient overlap with UK business hours Rate: Competitive contract rate Reports to: CTO (UK) Application Deadline Applications close on Monday 7 September 2026 About Giant Group Established in 1992, Giant Group is a workforce management platform and solutions provider. We support businesses with compliant and efficient solutions spanning applicant tracking, supply chain management, screening, time management, billing, payroll and a range of employment options globally. More info: giantgroup.com The Role Giant Group is developing n8n as a strategic automation and integration platform across the business. We're looking for an experienced n8n Engineer to accelerate delivery of production automation, system integrations and AI-augmented workflows across operational and development functions. This is a hands-on engineering role. You'll work directly with the UK-based CTO and teams across Giant Group to design, build, test, deploy and support reliable n8n workflows that reduce manual effort, connect key platforms and introduce AI-assisted processing where it creates measurable value. We're looking for a delivery-focused engineer who can work independently, communicate clearly across locations and time zones, and produce secure, maintainable working solutions rather than specifications alone. Key Delivery Areas 1. Workflow Engineering Design, build, test and deploy production-grade n8n workflows across Giant Group's key operational areasIntegrate platforms including Microsoft SQL Server, Azure DevOps, Zendesk, Smartsheet, Microsoft 365 and SendGridEngineer workflows with robust validation, exception handling, retries, idempotency where appropriate, logging, monitoring and alertingUse modular, reusable workflow patterns and consistent naming/versioning conventionsDocument workflows, dependencies, credentials/configuration requirements and support procedures so internal teams can maintain them2. AI-Augmented Process Automation Implement LLM-augmented workflow steps using approved AI services and APIs, including Anthropic Claude and/or OpenAI where authorisedBuild document parsing, classification, extraction, validation and routing workflowsIntegrate AI-assisted processing into operational processes such as allocations, onboarding and screening supportApply human review, confidence thresholds, deterministic rules and audit trails where the process or data sensitivity requires themIdentify when conventional rules-based automation is more appropriate than an LLM-based approach3. Integration Architecture Build secure integrations between Giant Group systems, including Giant Precision payroll (SQL Server/.NET), iChex/Giant Screening, messaging platforms and external APIsWork confidently with REST APIs, webhooks, JSON payloads, authentication, pagination, rate limits and asynchronous processingDesign reusable integration patterns that can be extended without unnecessary reworkApply least-privilege access, secrets management and appropriate data-handling controls, particularly for payroll, identity and screening data4. Worker & Contractor Communications Build and optimise automated notification workflows supporting contractor and worker onboardingImplement multi-channel communication logic across email, WhatsApp and SMS, including fallback, delivery tracking and exception handlingSupport scalable communication flows capable of handling high-volume programmes, including volumes of approximately 20,000 workers per week where required5. Development & Operations Automation Build Azure DevOps automations for pull-request triage, notifications, status tracking and engineering workflow supportAutomate test-result aggregation, reporting and operational status informationRoute incidents and alerts from monitoring platforms to the appropriate teamsDevelop automation supporting operational teams, including allocations and onboarding6. Handover & Knowledge Transfer Produce concise technical documentation and runbooks for each production workflowTransfer knowledge to Giant Group engineers and operational owners so workflows can be supported and extended internallyMaintain clear workflow structure, naming, versioning and change records Technical Environment n8n (self-hosted) · Microsoft SQL Server · Azure DevOps · Microsoft .NET/C# services · Microsoft 365 (Exchange, SharePoint, Teams) · Zendesk · Smartsheet · SendGrid · Anthropic Claude API and other approved AI services · Respond.io/WhatsApp Business API · Microsoft Azure infrastructure Connectivity – Nice-to-Have Experience (desirable, not essential — no candidate expected to have all) Webflow · Twenty · Avaya Call · Microsoft Teams & Teams Webinars · Clay · PostHog · SE Ranking · Sendr · Microsoft Outlook · AWS Email · Google Search Console · Google Analytics · Google Workspace · Google Tag Manager · Microsoft Office (Word, PowerPoint) · LinkedIn Ads Manager · Meta Ads Manager · Reddit Ads · Microsoft/Bing Ads · Bing Webmaster Tools · Trumpet · Mermaid diagrams · Draw.io · Microsoft OneDrive Essential Experience Demonstrable hands-on experience building and operating production n8n workflows (essential)Strong REST API and webhook integration skills, including OAuth 2.0, API keys, JWT and secure credential handlingStrong JavaScript/Node.js capability for n8n expressions, Code nodes, data transformation and workflow logicExperience integrating SQL databases; Microsoft SQL Server experience preferredPractical experience designing resilient workflows with error handling, retries, logging, alerting and recovery pathsAbility to diagnose integration failures using logs, API responses and execution dataAbility to work independently, manage delivery against agreed priorities and communicate blockers earlyProfessional written and spoken English sufficient for technical collaboration with UK-based stakeholders Highly Desirable Experience building LLM-augmented n8n workflows using Anthropic, OpenAI or comparable APIsExperience with self-hosted n8n, including credentials, environments, deployment, upgrades and operational monitoringFamiliarity with Microsoft 365 integrations and Azure DevOps APIsExperience with WhatsApp Business API or comparable messaging integrationsExperience with Zendesk and/or Smartsheet APIsBackground in payroll, HR technology, screening, financial services or another regulated/data-sensitive environmentUnderstanding of secure software delivery, source control, testing and change management How We Work Delivery first: working, tested automation is the primary outputPragmatic engineering: choose the simplest reliable solution that meets the requirementSecurity by design: treat personal, payroll and screening data appropriately throughout the workflow lifecycleObservable automation: production workflows must be supportable, diagnosable and recoverableDocumentation as part of delivery, not a post-project activityClear communication across distributed teams and UK working hours What Success Looks Like Production n8n workflows operating reliably across priority business processesIntegrations implemented using reusable, maintainable patternsAI-augmented workflows deployed where they provide a clear operational benefit and appropriate controls are in placeHigh-volume worker communication flows operating reliably where included in scopeMonitoring, error handling and support procedures implemented for production workflowsClear documentation and runbooks completedInternal engineers able to maintain and extend delivered workflowsA prioritised backlog of further automation opportunities for subsequent phases Engagement & Location UK: remote or hybrid working by agreement, with regular collaboration during UK business hours. All candidates must be able to work lawfully under the engagement arrangement applicable in the UK.