Sr AI Platform Engineer (AWS Bedrock & RAG)

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 modern 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.