AWS AI Engineer

Job Summary
We are looking for an AWS AI & Cloud Engineer with hands-on experience in AWS Cloud, Generative AI, Machine Learning, Amazon Bedrock, SageMaker, LLMs, and cloud-native application development.
The ideal candidate should be able to design, develop, and deploy scalable AI solutions on AWS and integrate AI capabilities with enterprise applications and cloud services.
Key Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions on AWS.
Build applications using Amazon Bedrock, SageMaker, and foundation models.
Develop LLM, RAG, AI Agent, and conversational AI solutions.
Build scalable and secure cloud-native applications using AWS services.
Develop backend services and APIs using Python, Java, or Node.js.
Work with AWS services including Lambda, API Gateway, S3, DynamoDB, ECS/EKS, IAM, CloudWatch, and OpenSearch.
Design and implement AI/ML pipelines and model deployment solutions.
Work with vector databases, embeddings, knowledge bases, and document processing.
Integrate AI solutions with enterprise applications, databases, APIs, and third-party platforms.
Implement CI/CD, monitoring, security, and automation for AI and cloud applications.
Optimize AWS infrastructure for scalability, reliability, security, and cost.
Collaborate with architects, data engineers, software engineers, and business teams.
Required Skills
Minimum 6 months of experience in AWS Cloud / AI / ML / Software Engineering.
Strong hands-on experience with AWS Cloud.
Experience with Amazon Bedrock and/or Amazon SageMaker.
Understanding of Generative AI, LLMs, RAG, prompt engineering, and embeddings.
Strong Python programming skills.
Experience with AWS serverless and cloud services.
Experience developing REST APIs and microservices.
Knowledge of cloud security, IAM, networking, monitoring, and deployment.
Basic understanding of AI/ML model deployment and MLOps.
Candidate must have at least one valid AWS Certification.
Amazon Connect and Amazon Lex experience is a nice-to-have

Work arrangement
No