Senior AIML Engineer

Job description

Key Skills: Agentic AI, LLM, Lang chain, Python, Gen AI, MLOps, Open AI, Pytorch Roles and Responsibilities: • Design and implement AI/ML data architectures that support generative AI and machine learning workloads. • Build and optimize data pipelines for model training, validation, and inference workflows. • Develop scalable AI services and integrations using Python, FastAPI, and modern LLM frameworks. • Work with cloud AI platforms and distributed data technologies to support high-throughput, low-latency applications. • Apply governance, security, and lifecycle practices across AI model development and deployment environments. Skills Required: • 7-10 years of relevant experience in AI/ML, data engineering, or AI platform development. • Strong hands-on experience in Python, Generative AI, Agentic AI, LLMs, LangChain, and LangGraph. • Experience designing AI/ML architectures and integrating them with enterprise data platforms. • Ability to build scalable solutions using Spark, Kafka, SQL/NoSQL, and cloud AI services. • Experience with API development, model integration, and production-ready AI application delivery. Good to Have: • Experience with PyTorch, OpenAI, MLOps, prompt engineering, embedding models, vector databases, and commercial analytics use cases. Education: Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's preferred