Qube Cinema is India's leading cinema technology company, powering digital cinema distribution, content localisation, and advanced analytics across thousands of screens. Our Digital Transformation team is building the intelligence and engineering layer that drives automation, AI, and data across the business.Role Overview
We are looking for an AI Engineer to build and deploy AI-powered solutions, data pipelines, and automation workflows at Qube Cinema. You will work on a diverse set of problems — from LLM-powered bots and NLP query interfaces to super-resolution AI models and data engineering. This is a builder role where you will ship real products that transform how Qube operates.Key ResponsibilitiesLLM Applications & AI Agent Development
- Build and deploy LLM-powered bots, agents, and NLP query interfaces for business use cases
- Integrate Claude, OpenAI, and other LLM APIs into production workflows
- Design agentic workflows with tool-use, retrieval-augmented generation (RAG), and multi-step reasoning
- 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
- Write complex SQL queries, design data models, and optimise analytical workloads
- Use Python (pandas, dbt, SQLAlchemy) and R for data transformation, modelling, and visualisation
- Support BI dashboard development with clean, well-structured data layers
- Develop, train, and evaluate machine learning and deep learning models
- Work on applied computer vision tasks including super-resolution (2K to 4K upscaling)
- Set up GPU training pipelines, manage datasets, and track experiments (MLflow or equivalent)
- Collaborate with research partners (e.g., IIT Madras) to operationalise research outputs
- Build and maintain workflow automation pipelines for business process automation
- Develop REST API integrations, webhooks, and event-driven pipelines between systems
- Implement and manage low-code automation tools as part of broader engineering workflows
- 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
- Python — pandas, NumPy, scikit-learn, FastAPI, SQLAlchemy, Jupyter
- R — data wrangling, statistical modelling, ggplot2, Shiny (for dashboards)
- SQL — complex queries, window functions, CTEs; experience with data warehouses (Snowflake, BigQuery, PostgreSQL)
- LLM APIs — OpenAI, Anthropic Claude API; prompt engineering, function/tool calling, RAG pipelines
- REST API development and consumption; JSON, OAuth, webhook patterns
- Git, GitHub/GitLab — version control, code review, CI pipelines
- Linux/Bash — scripting, cron, server-side automation
- Deep learning frameworks — PyTorch or TensorFlow for model training
- 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
Active projects include: an NLP sales query bot integrated with Microsoft Teams; a 2K-to-4K AI super-resolution model in collaboration with IIT Madras; P&L and revenue analytics dashboards on ERP and Data Lake; CRM data pipeline engineering across ERP, Qube Central, and Slate; and IP rights management using blockchain architecture. You will ship across all of these.Qualifications
- B.Tech / M.Tech / M.Sc. in Computer Science, Data Science, Electrical Engineering, or related field
- 2–5 years of hands-on experience in AI engineering, data engineering, or applied ML roles
- Strong portfolio or demonstrated experience building and shipping AI-powered products
- Comfort working in a fast-paced, cross-functional team with shifting priorities
- Hands-on work with frontier AI tooling — LLMs, agents, computer vision, and more
- Collaboration with IIT Madras on applied research projects
- Direct ownership of AI products used across thousands of cinema screens
- Competitive compensation, flexible working, and a builder culture
Skills Required
- Python (pandas, NumPy, scikit-learn, FastAPI, SQLAlchemy, Jupyter)
- R (data wrangling, statistical modelling, ggplot2, Shiny)
- SQL (complex queries, window functions, CTEs) and experience with Snowflake, BigQuery, PostgreSQL
- Experience with LLM APIs (OpenAI, Anthropic Claude) and RAG/agent workflows
- REST API development and consumption; JSON, OAuth, webhook patterns
- Version control with Git and GitHub/GitLab; CI pipeline familiarity
- Linux/Bash scripting and server-side automation
- Deep learning frameworks (PyTorch or TensorFlow) and GPU training pipeline experience
- Experience building and shipping AI-powered products; strong portfolio or demonstrated experience
- B.Tech / M.Tech / M.Sc. in Computer Science, Data Science, Electrical Engineering, or related
- 2-5 years hands-on experience in AI engineering, data engineering, or applied ML roles
- dbt for data transformations and analytical modelling
Qube Cinema Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qube Cinema and has not been reviewed or approved by Qube Cinema.
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Healthcare Strength — Signals indicate employer-provided medical coverage for employees and dependents along with life insurance. Public materials do not detail plan generosity, but core coverage appears to be in place.
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Parental & Family Support — Family-oriented provisions include maternity leave eligibility and medical coverage for dependents. Feedback suggests specifics may vary by location and should be confirmed at the offer stage.
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Wellbeing & Lifestyle Benefits — Flexible work styles (flexi hours, hybrid/remote options) and culture-building activities are emphasized. These elements can support work–life balance even where cash pay is modest.
Qube Cinema Insights
What We Do
Qube Cinema is a provider of end-to-end movie technology and solutions. The company draws on decades of experience in cinema and provides a seamless environment for exhibitors, filmmakers and post-production companies with products and services that are flexible, reliable and cost-effective. Qube’s products and services are well established globally, with thousands of installations serving 136 countries across the world. Qube Cinema has been a leading provider of technology in the film, video and audio domains and has pioneered several technology revolutions over the last four decades. The company was instrumental in bringing computer-based digital non-linear editing to India with Avid Technology, transforming the industry and forever changing the way Indian film and television programs were edited. The company subsequently brought digital cinema sound to India with DTS and helped Indian cinema leapfrog a generation, form mono sound directly to digital. In 2005, Qube Cinema became one of the pioneers of the digital cinema transformation worldwide with its Qube digital cinema server and QubeMaster Pro digital cinema mastering products. Qube continues to innovate with Qube Wire, a truly unique self-service digital cinema content delivery and key management service that has quickly become the market leader. The company is also setting up virtual production facilities and has multiple other pathbreaking services under development — all with the aim of bringing to life the passion of every storyteller, to engage, entertain and enlighten the world
