Role Overview
We are seeking a Lead Generative AI Engineer with strong foundations in deep learning, transformer architecture, and practical experience building GenAI applications beyond basic RAG systems. The ideal candidate has hands-on experience/technical familiarity with LLM fine-tuning, multimodal models, retrieval systems, agentic frameworks, retrieval architectures, and production-grade ML deployment.
This role will partner with engineering, data science, and CX teams to build intelligent agents, multimodal experiences, personalization systems, and knowledge-grounded AI solutions that power the future of customer engagement for global brands.
Experience Requirements
Minimum 3-6 years of hands-on software development experience including building and deploying machine learning models into production.
2+ years of experience working with deep learning, GenAI, or transformer-based architectures.
Demonstrated experience building GenAI applications beyond simple RAG (e.g., agents, multimodal, custom LLM fine-tuning).
Experience integrating AI systems in enterprise-grade environments.
Location: Pune,Mumbai,Bengaluru,Gurugram,Chennai,Coimbatore
Work mode : Hybrid (3-4 days a week from office)
Required Technical Skills
Programming: Python (advanced), SQL; robust experience with API development and data engineering,
Backend Frameworks: Flask, FASTAPI, Django
Machine Learning: Predictive modelling, deep learning, optimization, embeddings, vector search, model evaluation.
Generative AI: LLMs, RAG, multimodal architectures, agents, prompt engineering, grounding, knowledge graphs.
Cloud Platforms: AWS, Azure, or GCP with hands-on experience deploying and scaling AI systems.
Data Technologies: Apache Spark, Hadoop, MongoDB; robust understanding of data pipelines and large-scale processing.
Math Foundations: Linear algebra, probability, statistics.
Key Responsibilities
Generative AI, Multimodal Systems & Agentic Frameworks
Build conversational and non-conversational,
📌 Lead AI Engineer (India)
🏢 dentsu
📍 India