AI & GenAI Engineer

A Leading Global Consultancy is seeking an innovative AI & GenAI Engineer to join its advanced data analytics division in Mumbai. In this permanent technical role, you will contribute to the end-to-end design, development, and deployment of enterprise-grade artificial intelligence and generative model solutions. Furthermore, you will build scalable applications and custom chatbot automation flows utilizing state-of-the-art foundation models. Consequently, this position is vital for driving intelligent process transformations and scaling model architectures safely.

The AI & GenAI Engineer must demonstrate absolute programming mastery over large language model orchestration frameworks and vector databases. Additionally, you will coordinate with cross-functional business squads to configure advanced Retrieval-Augmented Generation architectures and multi-agent systems. Therefore, the company is looking for a data scientist who applies MLOps practices to secure cloud pipelines. If you want to deploy next-generation cognitive systems using Azure AI stacks, this position offers an ideal path.

Key Responsibilities

• Develop and support enterprise-scale AI and GenAI models tailored precisely to distinct business parameters.
• Build production-ready conversational chatbot workflows utilizing LLMs from leading market providers.
• Design, calibrate, and optimize complex Retrieval-Augmented Generation systems using LangChain or LlamaIndex.
• Implement advanced prompt engineering techniques, custom model fine-tuning runs, and agentic AI modules.
• Configure cloud infrastructure setups for heavy AI model workloads across Azure services and NoSQL grids.
• Utilize Microsoft OpenAI, AI Search, Azure Data Lake Storage, and Cosmos DB to engineer data pipelines.
• Incorporate secure data compliance boundaries and enterprise governance filters into cognitive software tools.
• Develop high-performance REST APIs using backend frameworks such as Django, Express.js, or Spring Boot.
• Provide ongoing technical maintenance, model optimization, and code troubleshooting for deployed assets.
• Conduct technical training sessions and author comprehensive documentation to enable user adoption across groups.

Requirements and Qualifications

• Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, or highly quantitative matching branches.
• Minimum 5 Years of IT industry experience, with a minimum of 3 years focused on AI/GenAI development.
• Deep functional understanding of machine learning principles, NLP pipelines, and generative foundation models.
• Hands-on programming mastery across AI development frameworks including TensorFlow, PyTorch, and Azure Cloud.
• Familiarity with NoSQL/RDBMS design, MLOps orchestration rules, and API development frameworks.