Ai Ml Engineer

Role & responsibilities

• Design, develop, and deploy scalable AI/ML and Generative AI solutions on AWS using Bedrock, SageMaker, Lambda, and related services.
• Build and optimize Agentic AI applications using LangChain and LangGraph, including multi-agent workflows and orchestration.
• Develop LLM-powered solutions leveraging Claude and other foundation models, with expertise in prompt engineering, RAG, fine-tuning, and model evaluation.
• Integrate AI solutions with enterprise applications, APIs, and cloud-native architectures.
• Ensure AI solutions meet scalability, security, performance, and reliability requirements.
• Collaborate with cross-functional teams to define AI strategy, architecture, and best practices.
• Drive innovation through adoption of emerging AI technologies, frameworks, and industry best practices.
• Provide technical leadership, mentoring, and support for AI/ML initiatives.