We are looking for an AI Engineer to build and deploy AI-powered solutions, data pipelines, and automation workflows at Qube Cinema.

Company: Qube Cinema

Role: AI Engineer — Digital Transformation

Location: Chennai, India

Build and deploy LLM-powered bots, agents, and NLP query interfaces
Develop and maintain AI integrations with Microsoft Teams, CRM, ERP, and internal platforms
Build and maintain data pipelines connecting ERP, CRM, Slate, and the Qube Data Lake
Develop, train, and evaluate machine learning and deep learning models
Build and maintain workflow automation pipelines for business process automation

Design agentic workflows with tool-use, retrieval-augmented generation (RAG), and multi-step reasoning
Write complex SQL queries, design data models, and optimise analytical workloads
Support BI dashboard development with clean, well-structured data layers
Set up GPU training pipelines, manage datasets, and track experiments
Collaborate with research partners to operationalise research outputs
Implement and manage low-code automation tools
Create reusable automation scripts and CI-friendly deployment patterns
Work closely with the Lead — Digital Transformation to translate business requirements into technical solutions
Document model performance, data schemas, API contracts, and deployment guides
Participate in architecture reviews and technical decision-making

Claude Code (Anthropic) — agentic coding, custom agent development, MCP integrations
Emergent AI — platform familiarity and agent deployment experience
n8n — workflow automation orchestration, custom nodes, API chaining
Computer vision — image super-resolution, ESRGAN, Real-ESRGAN, or similar architectures
MLflow, DVC, or similar — experiment tracking, model registry, reproducibility
Docker, containerisation — packaging models and services for deployment
Blockchain / Web3 basics — familiarity with Hedera or similar for IP/rights use cases
Vector databases — Pinecone, Weaviate, pgvector for embedding-based retrieval

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