Job Description:
AI Lead Engineer
Role Overview
We are seeking a Lead Generative AI Engineer with robust 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.
KEY RESPONSIBILITIES
GENERATIVE AI, MULTIMODAL SYSTEMS & AGENTIC FRAMEWORKS
* 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.
DEPLOYMENT, APIS & CLOUD ENGINEERING
* 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
📌 Lead AI Engineer (Pune)
🏢 dentsu
📍 Pune