ML Engineer I
UST (company site, opens in a new tab)6–7 yrsHyderabadOn-siteDirect career pageEst. 22–35 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy Generative AI and Agentic AI applications on AWS using Amazon Bedrock, focusing on scalable, enterprise-grade solutions.
- Build intelligent agents and multi-agent workflows with LangGraph, LangChain, Python, and RAG patterns by integrating enterprise data sources and APIs to automate complex business processes.
- Collaborate with architecture, cloud, and DevOps teams to implement secure and scalable AI solutions adhering to CI/CD standards and enterprise governance.
Minimum Requirements
- 6 to 7 years of industrial experience.
- 1-2 years of hands-on experience in AI/ML application development.
- Strong AWS cloud development expertise with practical experience using LangGraph, LangChain, Python, LLMs, and Agentic AI.
- Work Experience Required: 6 to 7 years, with specific AI/ML application experience as mentioned.
Ideal Candidate Profile
- Experienced in developing and optimizing LLM-powered applications including prompt engineering, context management, and orchestration logic.
- Technically proficient with AWS services (especially Amazon Bedrock) and cloud-native AI architectures suitable for enterprise environments.
- Capable of collaborating across architecture, cloud, and DevOps teams to deliver compliant, secure, and observable AI solutions.