Lead AI Engineer

Role: Lead AI Engineer Experience: 8+ yrs Location: MG Road, Bangalore Work Mode: Hybrid (3 days from office)About the Role We are seeking a highly skilledLead AI Engineerto architect, build and scale AI-powered solutions. The ideal candidate will guide the AI development lifecycle—research, model building, optimization, deployment—and lead a team of ML/GenAI engineers to deliver high-impact intelligent systems. You will work closely with product, data and engineering teams to define strategy, ensure delivery excellence and drive innovation across AI initiatives. Key Responsibilities Lead design and development ofAI/ML and Generative AI solutionsend-to-end. Build, train, fine-tune and optimize deep learning models (NLP, Vision, LLMs, RAG, multimodal). Architect scalable pipelines for data processing, model training and real-time inference. Evaluate, fine-tune and integrate LLMs (OpenAI, Llama, Gemini, Claude etc.) Implement RAG pipelines, prompt engineering and vector search for enterprise AI apps. Deploy models on cloud platforms ( AWS/Azure/GCP ) using MLOps best practices. Manage and mentor AI/ML engineers, perform code and architecture reviews. Partner with stakeholders to translate business requirements into technical solutions. Research emerging AI trends, POCs and drive innovation programs. Ensure responsible AI practices—security, bias mitigation, model monitoring. Required Skills Strong expertise inPython , ML frameworks:PyTorch, TensorFlow, Hugging Face . Hands-on experience buildingend-to-end ML/GenAI systemsfor production. Deep understanding ofNLP, LLMs, embeddings, transformers, vector DBs . Experience withRAG, prompt engineering, agent frameworks (LangChain/LlamaIndex) . Cloud + MLOps skills:Docker, Kubernetes, CI/CD, model deployment, monitoring . Strong grasp of data engineering concepts: ETL, feature store, data pipelines. Familiarity with distributed training frameworks ( Ray, DeepSpeed, Horovod ) is a plus. Ability to lead technical discussions, architecture planning & delivery. Good to Have Experience training custom LLMs or multimodal models at scale. Knowledge ofDataBricks, MLflow, Vertex AI, SageMaker . Publications, patents, Kaggle ranks or open-source contributions. Domain experience in Healthcare, FinTech, SaaS or Enterprise AI products. Education Bachelor's/Master’s degree in Computer Science, AI, Data Science or related field. Why Join Us? Work on cutting-edge AI product innovations. Ownership, autonomy, and opportunity to build & scale AI teams. Competitive compensation with growth opportunities.

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