Senior AI Engineer (RAG & AWS Bedrock)

UST; Ahmedabad District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

UST is seeking a Senior AI Engineer to design, build, and operate scalable AI-powered services on AWS. You will integrate enterprise data sources, develop intelligent retrieval systems, and deliver secure, observable cloud-native solutions using RAG and AWS Bedrock.

The role requires 6+ years in software/AI engineering and 3+ years building production services on AWS, with strong collaboration across engineering, product, and architecture teams.

Qualifications

• 6+ years of professional software/AI engineering experience.
• 3+ years building and operating production services on AWS.
• Strong background in RAG and AWS Bedrock.

Responsibilities

• Design, develop, and operate production-grade AI services using RAG and AWS Bedrock.
• Build retrieval solutions with vectorization and semantic search techniques.
• Develop and optimize retrieval pipelines with embedding, indexing, and context enrichment.
• Integrate APIs and microservices exposing AI capabilities to enterprise apps.
• Create scalable cloud-native/serverless solutions on AWS and ensure reliability.

Skills

RAG

AWS Bedrock

Vectorization

OpenSearch

Job description

Role Description

We are seeking a highly skilled Senior AI Engineer with strong 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-making activities.

Required Skills

Proficient

• RAG
• AWS Bedrock

Intermediate

• Vectorization OR OpenSearch

Experience

• 6+ years of professional experience in software engineering, data engineering, or AI/ML engineering.
• 3+ years of experience building and operating production services on AWS.

Why Join UST

• Work on innovative, technology-led digital transformation programs for global clients.
• Be part of a collaborative engineering culture focused on modern cloud and AI solutions.
• Access continuous learning opportunities, career growth pathways, and cutting-edge technology initiatives.
• Contribute to impactful solutions that help enterprises accelerate innovation and business outcomes.

Skills

RAG,AWS bedrock, Vectorization or opensearch