Senior Ai Ml Engineer

Senior AI/ML Engineer AI/ML, GenAI & Agentic AI Senior AI/ML Engineer AI/ML, GenAI & Agentic AI Experience 5+ years of experience in AI/ML, Data Science, Machine Learning Engineering, or a related field. Role Overview We are looking for a Senior AI/ML Engineer with strong hands-on experience across Machine Learning, Deep Learning, MLOps, Generative AI, and Agentic AI. The candidate will be responsible for designing, developing, deploying, and scaling AI solutions for enterprise use cases. Key Responsibilities Design and develop end-to-end Machine Learning and Deep Learning solutions. Build and productionize ML models using appropriate algorithms and frameworks. Develop and manage MLOps pipelines covering model training, deployment, monitoring, and lifecycle management. Build Generative AI applications using LLMs, prompt engineering, embeddings, RAG, and vector databases. Design and implement Agentic AI solutions, including AI agents, tool calling, multi-agent workflows, and orchestration. Integrate AI solutions with enterprise APIs, databases, applications, and knowledge sources. Deploy scalable AI solutions on AWS, Azure, or GCP. Implement AI application monitoring, evaluation, observability, security, and responsible AI practices. Collaborate with product, engineering, data, and business teams to translate business problems into AI solutions. Mentor junior engineers and contribute to AI architecture and technology strategy. Core Technical Skills Programming: Python, SQL Machine Learning: Scikit-learn, XGBoost/LightGBM Deep Learning: PyTorch / TensorFlow GenAI: LLMs, Prompt Engineering, Embeddings, RAG Agentic AI: LangGraph, LangChain or equivalent frameworks Vector Search: OpenSearch, FAISS, Pinecone or equivalent MLOps: MLflow, Docker, CI/CD, model deployment & monitoring Cloud: AWS / Azure / GCP APIs & Engineering: REST APIs, FastAPI, Git, containerization