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. (ref:hirist.tech)