Senior AI/ML Engineer AI/ML, GenAI & Agentic AI
Strong Python, LLM and Prompt engineering expertise with Java.
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