Role Description
We are seeking a highly skilled Senior AI Engineer with solid expertise in RAG and AWS Bedrock to design, build, and operate scalable AI-powered services on AWS. The ideal candidate will have experience developing production-grade AI applications, integrating enterprise data sources, building intelligent retrieval systems, and delivering secure, observable, and maintainable cloud-native solutions. This role requires strong software engineering fundamentals, deep AWS experience, and the ability to collaborate effectively across multidisciplinary teams while delivering independently within an established architecture.
Key Responsibilities
Design, develop, and operate production-grade AI services and applications using RAG and AWS Bedrock.
Build intelligent retrieval solutions leveraging Vectorization OR OpenSearch, semantic search techniques, and contextual information retrieval.
Develop and optimize retrieval pipelines involving chunking, embedding generation, indexing, and context enrichment.
Build and enhance search and retrieval systems to improve relevance,
accuracy, and overall user experience.
Design and integrate APIs and microservices that expose AI-powered capabilities to enterprise applications.
Develop and maintain scalable cloud-native and serverless solutions using AWS services.
Work with enterprise knowledge repositories and contextual data sources to improve information discovery and AI-driven insights.
Collaborate with engineering, product, and architecture teams to deliver AI platform capabilities aligned with business objectives.
Implement CI/CD best practices, automation, and deployment pipelines for AI applications and services.
Ensure solution reliability through testing, monitoring, logging, and operational excellence practices.
Contribute to continuous improvements in cloud infrastructure, development processes, and AI platform capabilities.
Participate in code reviews, architecture discussions, and technical decision-makin
📌 Senior AI Engineer (Ahmedabad)
🏢 UST
📍 Ahmedabad