Lead AI Engineer

2 days ago

Bengaluru India APPIT Software Inc Full time

Job Description 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 skilled Lead AI Engineer to architect, build and scale AI-powered solutions. The ideal candidate will guide the AI development lifecycleresearch, model building, optimization, deploymentand 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 of AI/ML and Generative AI solutions end-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 practicessecurity, bias mitigation, model monitoring. Required Skills - Strong expertise in Python, ML frameworks: PyTorch, TensorFlow, Hugging Face. - Hands-on experience building end-to-end ML/GenAI systems for production. - Deep understanding of NLP, LLMs, embeddings, transformers, vector DBs. - Experience with RAG, 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 of DataBricks, 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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