FullStack AWS AI Engineer

• The FullStack AWS AI Engineer will be responsible for designing, developing, and deploying cloud-native AI solutions using AWS services and Generative AI technologies.
• The role involves building scalable AI pipelines, integrating foundation models and LLMs, implementing DevOps and security best practices, and supporting production-grade enterprise applications.

Requirement/Must Have:

• Strong experience in full-stack development including front-end and back-end technologies.
• Hands-on expertise with AWS cloud services and cloud-native architectures.
• Experience building or integrating Agentic or Generative AI solutions.
• Proficiency in at least one backend programming language, preferably Python.
• Experience with REST APIs, microservices, and asynchronous processing.
• Experience with containerization technologies such as Docker and orchestration platforms including ECS and EKS.
• Strong understanding of software design patterns, scalability, and system resilience.
• Experience working in Agile and DevOps environments.

Experience:

• Experience designing and deploying AI solutions using AWS AI services including SageMaker, Bedrock, Rekognition, Textract, Transcribe, and Translate.
• Experience integrating foundation models and large language models into enterprise applications.
• Experience building AI pipelines for inference, orchestration, fine-tuning, and evaluation.
• Experience implementing Infrastructure as Code using CloudFormation, CDK, or Terraform.
• Experience developing CI/CD pipelines using GitHub Actions, AWS CodePipeline, or similar tools.
• Experience supporting monitoring, logging, troubleshooting, and production operations.
• Experience implementing cloud security and compliance best practices.

Responsibilities:

• Design, develop, and deploy Agentic and Generative AI solutions using AWS services.
• Integrate foundation models and LLMs into enterprise applications.
• Build AI pipelines for prompt orchestration, inference, fine-tuning, and evaluation.
• Implement responsible AI practices including governance, explainability, and bias mitigation.
• Architect and deploy cloud-native applications using AWS core services.
• Develop Infrastructure as Code solutions using Terraform, CDK, or CloudFormation.
• Design and maintain CI/CD pipelines for automated deployment and testing.
• Optimize application performance, scalability, availability, and cloud cost.
• Enforce AWS security best practices including IAM, encryption, and VPC configuration.
• Implement monitoring and alerting using CloudWatch, X-Ray, and OpenSearch.
• Support compliance and governance requirements.
• Participate in production support, troubleshooting, and performance tuning activities.

Should Have:

• Experience with AWS Well-Architected Framework principles.
• Familiarity with SOC2, ISO, or financial services compliance requirements.
• Strong understanding of responsible AI and model governance concepts.
• Experience building enterprise-scale AI platforms and services.

Skills:

• AWS Cloud Services.
• Generative AI and Agentic AI solutions.
• Amazon Bedrock and SageMaker.
• Python and backend development.
• REST APIs and microservices.
• Docker, ECS, and EKS.
• CI/CD pipeline development.
• Infrastructure as Code (Terraform, CDK, CloudFormation).
• Cloud security and compliance.
• Monitoring and logging tools.
• Full-stack application development.

Qualification And Education:

• Bachelor s degree in Computer Science, Information Technology, Engineering, or related field preferred.
• Equivalent professional experience accepted.