ML Engineer I

Job Summary Responsibilities

• Design, develop, and deploy Generative AI and Agentic AI applications on AWS, leveraging services such as Amazon Bedrock and cloud-native architectures to deliver scalable, enterprise-grade AI solutions.
• Build intelligent agents and multi-agent workflows using LangGraph, LangChain, Python, and Retrieval-Augmented Generation (RAG) patterns, integrating enterprise data sources, APIs, and external tools to automate complex business processes.
• Develop, test, and optimize LLM-powered applications, including prompt engineering, context management, orchestration logic, memory frameworks, and agent-tool interactions to improve accuracy, performance, and user experience.
• Collaborate with architecture, cloud, and DevOps teams to implement secure, scalable, and observable AI solutions following software engineering best practices, CI/CD standards, and enterprise governance requirements.

Requirements

• 6 to 7 year Industrial experience
• 1-2 years of hands-on experience in AI/ML application development
• Strong AWS cloud development expertise
• Practical experience using LangGraph, LangChain, Python, LLMs, Agentic AI

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