Automation Engineer

N8N Automation Engineer

Exp: 6+ Years

Location: Dubai

Role : FTE

KEY RESPONSIBILITIES :

• Design, build, and maintain production n8n workflows covering HR lifecycle processes: eligibility validation, multi-step approval routing, SLA monitoring, document handling, notification triggers, and exception management.

• Build and tune the LLM/RAG AI conversational agent — including prompt engineering, knowledge base ingestion and retrieval, intent detection, context retention, Arabic/English bilingual support, and hallucination prevention.

• Build and maintain the centralized business rule validation engine enforcing CLIENT HR policies, eligibility criteria, and governance controls before any lifecycle transaction executes.

• Integrate the n8n orchestration layer with Oracle EBS HRMS APIs, NestJS backend services, and external government verification platforms.

• Implement AI governance controls: prompt template versioning, model lifecycle tracking, accuracy validation test suites, user feedback loop processing, and full audit trail compliance.

• Build automated test suites for all workflow scenarios and AI agent responses, validating against CLIENT-defined acceptance criteria.

• Support the HR AI Agent 2.0 track with workflow enhancements and AI pipeline contributions on a part-time basis as directed by CLIENT.

• Participate in sprint planning, daily stand-ups, fortnightly sprint reviews, and monthly progress reporting.

SKILLS & REQUIREMENTS

Must-Have :

• n8n — production workflow design and deployment, complex conditional flows

• LangChain — RAG pipelines, prompt engineering, retrieval tuning

• LLM integration — Azure OpenAI / GPT-4o or equivalent

• REST API integration — enterprise multi-system orchestration

• Arabic + English bilingual AI interaction support

• AI governance — hallucination prevention, explainability, model versioning

Nice to Have :

• Oracle EBS HRMS / API familiarity

• UAE federal government or HR systems experience

• LangSmith or Langfuse for LLM observability

• Node.js / NestJS familiarity for backend integration work

• pgvector or vector database experience

• Redis for session and caching layers

TECHNOLOGY STACK :

n8n, LangChain, Azure OpenAI / GPT-4o pgvector

Lang Smith, Node.js, NestJS, REST / SOAP APIs,

Oracle EBS HRMS, PostgreSQL, Redis, Docker,