Senior n8n Engineer - AI Automation

Description :

Minimum 4+ years of experience required.

Apping Technology is hiring a AI Workflow & Systems Integration Engineer to lead the development of two major AI automation platforms :

1- In-App AI Operations Layer :

- AI chatbot inside the mobile app

- Connect app ? internal operations ? customer flow

- Automate 8090% of customer communication

- Build Ops Panel + workflow automation

2- Sales AI Agent Platform :

- WhatsApp-based autonomous sales agent

- Broadcast + two-way AI conversations

- n8n-driven automations

- Integration with BSPs, Lovable UI, and CRM logic

This role is perfect for a developer who loves solving real-world workflow problems, building AI automation at scale, and integrating messy systems into clean, robust architectures.

You will work closely with our founder and AI team to build production-grade solutions used by thousands of end users.

Key responsibilities :

1- AI Integration & Automation :

- Build conversational AI flows using OpenAI / Anthropic / Llama / Qwen models

- Implement structured AI agents for customer service & sales

- Build end-to-end RAG pipelines (retrieval, embeddings, hybrid search, context injection)

- Handle prompt engineering, guardrails, fallback logic

2- System Integration & Backend Engineering :

- Build API bridges between external systems and our AI backend

- Consume and expose REST APIs, webhooks, and event-based triggers

- Integrate with WhatsApp Business API / BSPs

- Build and maintain backend services (Node.js / Python preferred)

- Build lightweight Ops Panels (React / Lovable / Next.js)

3- Workflow Automation (n8n) :

- Design multi-step automation pipelines

- Build workflows for routing inquiries, syncing operations data, sending notifications

- Implement error handling, retries, logging, and monitoring

- Integrate n8n with vector DB, AI backend, CRM, and cloud services

4-Data Engineering for AI :

- Design RAG data pipelines (chunking, embedding, versioning)

- Build processes to sync FAQs, SOPs, CSV logs, operational data

- Maintain vector DB hygiene (Pinecone / Qdrant / Supabase Vector)

- Implement hybrid search logic and relevance scoring

5- Frontend / App Integration :

- Embed AI chat components inside mobile apps (via WebView or SDK)

- Build internal dashboards, admin tools, and UI panels

- Work with app devs to integrate AI APIs into existing UX flows

6- Quality, Stability & Deployment :

- Containerize and deploy services (Docker knowledge preferred)

- Monitor system health and debug production issues

- Maintain uptime, accuracy, and performance standards

Required skills and experience :

1. Backend Engineering

- Strong in Node.js or Python

- Strong API integration skills

- Familiarity with authentication (JWT, OAuth)

- Experience building microservices or internal tools

2. Workflow Automation (Very Important)

- Deep experience with n8n (or Make/Zapier with ability to switch)

- Building multi-system automation pipelines

- Handling API calls, routing, conditionals, and failure logic

3. AI/LLM Engineering

- Experience integrating LLMs via API

- Able to build multi-turn conversational logic

- Comfortable with prompt engineering

- Understands how to manage context, memory, and output formatting

4. RAG (Retrieval-Augmented Generation)

- Mandatory

- Vector DB (Pinecone / Qdrant / Weaviate / Supabase)

- Embeddings (OpenAI / local)

- Chunking strategies + relevance scoring

- Hybrid search (BM25 + embeddings)

- Guardrails & hallucination prevention

5. Frontend Basics

- Comfortable with React / Next.js / Vue OR

- Able to build admin dashboards using Lovable.dev

- Good understanding of modern UI patterns

6. WhatsApp API Integration

- Experience with one of the BSPs (360dialog, AiSensy, Gupshup, WATI, Twilio)

- Template messaging, marketing vs utility categories

- Handling inbound/outbound messages with webhooks

7. Databases

- PostgreSQL, Supabase, Firestore, or MongoDB

- Schema design for conversations, campaigns, jobs

8. Soft Skills

- Strong problem-solving

- Able to handle messy, undefined workflows

- Communicates clearly with non-technical stakeholders

- Works independently and proactively

- Comfortable delivering production systems end-to-end

Nice to have skills :

- Docker / containerization

- AWS or GCP deployment experience

- Mobile development basics (Flutter/React Native)

- Basic analytics/dashboarding (Metabase, Supabase Studio)

- Experience in logistics or operations systems

What makes this role special :

You wont be a ticket taker.

You will build real AI automation products that sit at the center of :

- operations

- messaging

- ERP integration

- customer experience

- revenue impact

This is a big exposure, big ownership role.