Job Summary

Lead AI Developer. 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.

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
- Solid AWS cloud development expertise
- Practical experience using LangGraph, LangChain, Python, LLMs, Agentic AI

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 ML Engineer I (Thiruvananthapuram)
🏢 UST
📍 Thiruvananthapuram