Lead AI/ML Engineer - Generative AI

Lead Gen AI - AI/ML Engineer Location : Bangalore, Noida, Gurgaon Exp : 8+ years We are seeking a Senior AI/ML Engineer to design, develop, and deploy production-grade AI/ML solutions within client's organization. This role focuses on building Generative AI applications, multi-agent systems, and advanced retrieval pipelines that drive measurable business impact. You will work at the intersection of cutting-edge AI research and enterprise software engineering, collaborating with data scientists, platform engineers, and domain experts across R&D, supply chain, and commercial functions. Basic Ask : - Strong planning skills and should be able to work on the plan with the technical lead / architect - Strong GenAI development skills alongside classical ML/NLP foundations - Planning capability - able to lead technical planning for AI sprints and agree to delivery plans crafted by engineering leads - Accountable, self-driven, with a bias toward shipping production-grade solutions - Minimum 2 years hands-on experience building and deploying GenAI / LLM applications in production Key Responsibilities : 1. Generative AI & LLM Development 2. ML Engineering & MLOps 3. Architecture & Cloud 4. Collaboration & Leadership Technical Skills Matrix : - GenAI & LLMs : LangChain, LangGraph, OpenAI API, Claude API, Hugging Face Transformers, prompt engineering, multi-agent orchestration - ML Frameworks : PyTorch, TensorFlow, Scikit-learn, XGBoost; fine-tuning (LoRA / QLoRA / PEFT) - NLP & Retrieval : RAG, Graph RAG, hybrid search, vector DBs (Pinecone, Weaviate, Chroma), embedding models, NER, text classification - LLMOps & Eval : LangSmith, Langfuse, RAGAS, LLM-as-judge, model versioning, A/B testing, prompt management - Inference : vLLM, TensorRT-LLM, DeepSpeed, ONNX Runtime, quantization techniques - Cloud & Infra : AWS (Bedrock, SageMaker, Lambda, S3) or Azure; Docker, Kubernetes, Terraform - Programming : Python (primary), FastAPI, SQL, Git, Bash; familiarity with TypeScript / JavaScript a plus - Data & Tools : PostgreSQL, Neo4j, MongoDB, Redis, Apache Kafka, Databricks, Jupyter, MLflow Qualifications Required : - Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Mathematics, or a related field from a reputed institution - 10+ years of total experience in ML/AI or data science roles, with a minimum of 2 years building and deploying GenAI / LLM applications in production - Strong proficiency in Python and at least one ML framework (PyTorch / TensorFlow) - Hands-on experience with RAG pipelines, vector databases, and LLM orchestration frameworks - Experience deploying AI solutions on cloud platforms (AWS or Azure) with containerization - Solid understanding of transformer architectures, attention mechanisms, and modern NLP techniques Preferred : - Experience in a pharmaceutical, healthcare, or regulated industry environment - Background in Graph RAG, knowledge graphs, or ontology-based information extraction - Exposure to multi-agent system design, tool use patterns, and function calling - Published research or contributions to open-source AI/ML projects - Familiarity with compliance frameworks relevant to pharma (GxP, 21 CFR Part 11, SOX) - Experience with LLM inference optimization (quantization, batching, speculative) .