ML Engineer I

Job Summary


Responsibilities

• 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

• Required Experience:6 to 7 year Industrial experience, 1-2 years of hands-on experience in AI/ML application development, with strong AWS cloud development expertise and practical experience using LangGraph, LangChain, Python, LLMs, Agentic AI.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.