Senior AI Engineer

Job Summary : We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy AI/ML solutions that solve complex business problems. The ideal candidate will have strong expertise in machine learning, generative AI, large language models (LLMs), MLOps, and cloud-based AI platforms, with a passion for building scalable and production-ready AI systems. Key Responsibilities : - Design, develop, and deploy machine learning and Generative AI solutions. - Build and optimize AI applications using LLMs, NLP, and deep learning frameworks. - Develop AI-powered chatbots, copilots, recommendation engines, and intelligent automation solutions. - Fine-tune, evaluate, and monitor machine learning and foundation models. - Implement RAG (Retrieval-Augmented Generation) architectures and vector databases. - Collaborate with business stakeholders, architects, data scientists, and engineering teams to translate requirements into AI solutions. - Establish MLOps practices for model deployment, monitoring, and lifecycle management. - Ensure AI solutions meet security, compliance, scalability, and performance standards. - Mentor junior AI engineers and contribute to AI best practices and innovation initiatives. Required Skills : - Strong experience in Python and AI/ML development. - Hands-on expertise with Generative AI, LLMs, Prompt Engineering, and AI Agents. - Experience with TensorFlow, PyTorch, Scikit-learn, LangChain, or LlamaIndex. - Knowledge of NLP, Deep Learning, Computer Vision, and predictive analytics. - Experience with vector databases such as Pinecone, FAISS, Chroma, or Azure AI Search. - Strong understanding of MLOps, CI/CD, model deployment, and monitoring. - Experience with cloud platforms such as Azure AI, AWS AI/ML, or Google Cloud AI. - Familiarity with REST APIs, microservices, and containerization technologies (Docker/Kubernetes). Preferred Qualifications : - Experience in Healthcare or Health Insurance domain. - Knowledge of Responsible AI, AI Governance, and Model Risk Management. - Azure AI Engineer Associate, AWS ML Specialty, or equivalent AI certifications. - Experience leading AI solution delivery in enterprise environments. Education : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.