Build and deploy AI-powered solutions including LLM bots, RAG agents, super-resolution CV models, and data pipelines. Integrate LLM APIs, design workflows, develop ML/DL models, set up GPU training, maintain ETL pipelines, and implement REST API and automation integrations. Collaborate cross-functionally and document models, schemas, and deployments.
About Qube Cinema
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
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
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
Similar Jobs
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Design, build, and maintain Java-based cloud-native backend services and microservices for a fraud platform. Contribute to system design, CI/CD, integrations, performance, and production reliability. Mentor junior engineers and collaborate across product, architecture, DevOps, and cross-functional teams in a hybrid environment.
Top Skills:
AWSAzureCi/CdDevOpsGCPGitGradleJavaKafkaMavenMicroservicesNoSQLRabbitMQRdbmsRest ApisSpring Boot
Digital Media • Information Technology • News + Entertainment
Write and maintain clean, efficient code; design and develop new applications; implement unit and integration testing frameworks; document development and deployment processes; analyze integration needs and system architecture; collaborate with QA; troubleshoot performance and functional issues; exercise independent judgment and work variable schedules including nights and weekends.
Digital Media • Information Technology • News + Entertainment
Perform penetration tests (web, network, API, mobile) and vulnerability assessments; simulate attacks, exploit and document weaknesses; produce remediation reports; run red team exercises and security audits; develop automated testing tools; collaborate with development, DevOps, QA and stakeholders; mentor junior staff and manage technical documentation to improve security and compliance (OWASP, NIST).
Top Skills:
BashBurp SuiteDnsHTTPHttpsLinuxMetasploitNistNmapOwaspOwasp ZapPowershellPythonTcp/IpWindowsWireshark
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
