AI Engineer

Job Title: AI Engineer Company: Dentsu Job Category: Machine Learning Roles & Responsibilities: Job Description: Role Overview Key Responsibilities * Build conversational and non\-conversational, multimodal, and agentic AI applications using LLMs and frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, or similar. * Design AI workflows incorporating reasoning, planning, tool\-use, memory, grounding, and external system integrations. * Develop Knowledge Graph (KG)\-assisted AI systems, including entity extraction, linking, and KG\-augmented retrieval. * Ensure safety, consistency, and hallucination\-control through structured evaluation and guardrails. * Transform models into scalable APIs and microservices using Python, FastAPI/Flask, Docker. * Deploy and monitor ML/AI systems in AWS/Azure/GCP, optimizing for cost, latency, and reliability. * Collaborate with MLOps teams on CI/CD pipelines, model versioning, monitoring, and automated evaluation. * Work with big data technologies including Apache Spark, Hadoop, and NoSQL databases such as MongoDB. Model Development \& Applied AI Engineering * Build and optimize transformer\-based and multimodal models using deep learning frameworks (e.g., PyTorch, TensorFlow). * Implement fine\-tuning, alignment (RLHF/RLAIF), LoRA/QLoRA, pruning, and model evaluation pipelines. * Develop information retrieval systems, including hybrid dense–sparse retrieval, ranking, knowledge graphs, and relevance optimization. * Build predictive models and ML pipelines from scratch, including data preparation, feature engineering, and model selection. Work Location: Maharashtra, India Availability: Full time

We are seeking a 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. Required Technical Skills Experience Requirements Works with LLM APIs; simple RAG and KAG – Demonstrated by project experience Uses vector DBs for retrieval, knowledge graphs \- – Demonstrated by project experience Builds and deploys ML models; applies evaluation metrics – Demonstrated by project experience Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Feature Engineering Salary: Not disclosed