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