Senior n8n engineer- AI Automation

Work location is, Gujrat, Ahmedabad

Minimum 3+ 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 80–90% 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 / Python preferred)

Build lightweight Ops Panels (React / Lovable / )

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 or Python

Strong API integration skills

Familiarity with authentication (JWT, OAuth)

Experience building microservices or internal tools

1. 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

1. 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

1. 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

1. Frontend Basics

Comfortable with React / / Vue OR

Able to build admin dashboards using

Good understanding of modern UI patterns

1. 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

1. Databases

PostgreSQL, Supabase, Firestore, or MongoDB

Schema design for conversations, campaigns, jobs

1. 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 won't 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.

Industry

• IT Services and IT Consulting

Employment Type

Full-time