AI Engineer - AWS
NTT Ltd. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 22–40 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, deploy, and support production-grade Agentic AI and multi-agent AI solutions on AWS.
- Develop POCs and rapidly transition successful AI concepts to secure, scalable, production-ready solutions with operational responsibilities including CI/CD, automated testing, and security controls.
- Optimize AI services for performance, reliability, scalability, latency, and cost; provide AI engineering consulting and collaborate on reusable patterns and best practices.
Minimum Requirements
- 5+ years in Software Engineering, AI/ML Engineering, or related development roles.
- Strong Python programming skills and hands-on experience with LangGraph, LangChain, Agentic AI, and multi-agent systems.
- Proven production experience building, deploying, and supporting at least two multi-agent AI solutions—POCs or non-production experience insufficient.
- Strong experience with AWS including Amazon Bedrock and Bedrock AgentCore; knowledge of APIs, FastAPI, Docker, Git, CI/CD, automated testing, AI evaluation, and security controls.
Ideal Candidate Profile
- Technical operator with deep expertise in production deployment of multi-agent AI on AWS cloud stack.
- Comfortable delivering end-to-end solutions independently, including orchestration, state/memory management, tool calling, and HITL implementations.
- Experienced in integrating RAG and LLM-based AI models with enterprise systems and building scalable, observable AI services supporting production SLAs.