Senior AI Workflow & Systems Integration Engineer

ABOUT THE ROLE

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

• 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
• 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 RESPONSIBILITIESAI 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

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)

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

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

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

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 & EXPERIENCE1. 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 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.

Job Types: Full-time, Internship

Pay: From ₹60,000.00 per month

Work Location: In person