About This Role

India has roughly one qualified AI engineer for every ten open GenAI roles (TeamLease Digital), and NASSCOM projects a shortfall of close to one million AI-skilled professionals by 2027 (NASSCOM and Deloitte). At the senior end of that gap, the scarcity is sharper still: engineers who have actually carried an AI or GenAI system through to production, not just a notebook or a demo. This role is for someone who can take ownership of that system end to end, with robust foundations in machine learning, LLMs, data engineering, and cloud platforms, for a confidential enterprise client.

What You Will Own

• Design, build, and deploy machine learning and generative AI models, including LLMs, embeddings, transformers, and RAG pipelines
• Develop scalable AI services and microservices using Python, REST APIs, and cloud-native technologies, optimised for performance, accuracy, and cost efficiency
• Work with structured and unstructured datasets for feature engineering, vectorisation, and model training, and build data pipelines for training, validation, and inference




• Collaborate with data engineering teams on data ingestion, storage, and governance
• Implement CI/CD pipelines for ML models (MLOps), monitor model performance and drift, and implement retraining strategies
• Manage model lifecycle, logging, and observability
• Integrate AI systems with enterprise applications, APIs, and cloud platforms (Azure, AWS, or GCP)
• Build Retrieval-Augmented Generation (RAG) architectures using vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search, aligned with enterprise security, compliance, and ethical AI standards
• Work with product, engineering, domain experts, and business teams to translate requirements into technical solutions, and communicate AI capabilities and limitations to non-technical stakeholders
• Lead proofs of concept, demos, and conceptual solutioning, and bring junior engineers up to speed on production AI practices

What You Nee

📌 Senior AI Engineer, GenAI and MLOps (Chennai)
🏢 Qfyre Techlabs
📍 Chennai