Job Summary

We are seeking a highly skilled Senior AI Platform Engineer with strong expertise in AWS Bedrock, LLMs, RAG, and Vectorization/Embeddings to design, build, and operate scalable AI-powered services in AWS. The ideal candidate will have experience developing production-grade AI applications, integrating enterprise data sources, building 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 AWS Bedrock, LLMs, and RAG architectures.
- Build intelligent retrieval solutions leveraging Vectorization / Embeddings, semantic search techniques, and contextual information retrieval.
- Design and integrate APIs and microservices that expose AI-powered capabilities to client applications.
- Develop and maintain scalable serverless solutions using AWS Lambda and related AWS services.
- Implement retrieval pipelines involving Chunking, embedding generation, indexing, and context enrichment.
- Build and optimize search and retrieval systems to improve relevance, accuracy, and user experience.
- Work with Knowledge graphs / Context graphs / Graph databases to enhance contextual reasoning and information discovery.
- Collaborate with engineering, product, and architecture teams to deliver AI platform capabilities aligned with business objectives.
- Implement CI/CD best practices, containerization, and automated deployment pipelines.
- Ensure solution reliability through testing,



monitoring, logging, and operational excellence practices.
- Contribute to the continuous improvement of cloud infrastructure, development processes, and platform capabilities.
- Participate in code reviews, design discussions, and technical decision-making activities.

Required Skills

Proficient

- RAG
- LLMs
- AWS Bedrock
- Vectorization / Embeddings

Intermediate

- OpenSearch
- Chunking
- Knowledge graphs / Context graphs / Graph databases
- AWS Lambda

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.
- Strong proficiency in Python and solid software engineering fundamentals including testing, code review, and version control.
- Experience building and integrating APIs and enterprise-grade services.
- Working knowledge of contemporary LLM application patterns and AI platform development.
- Experience with Docker-based containerization and CI/CD implementations.
- Experience with infrastructure-as-code practices using AWS cloud ecosystems.

Preferred Qualifications

- Experience with Model Context Protocol (MCP) or similar agent integration frameworks.
- Experience with Amazon Bedrock AgentCore Gateway or Runtime.
- Familiarity with AI governance, evaluation, and compliance frameworks.
- Understanding of supply chain security and multi-tenant cost attribution.
- Contributions to open-source AI platform, MCP, or DevOps tooling.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr AI Platform Engineer (AWS Bedrock & RAG) (Chennai)
🏢 UST
📍 Chennai