FullStack AWS AI Engineer

We are looking for FullStack AWS AI Engineer for our client in

Malvern, PA Job Title:

FullStack AWS AI Engineer Job Location:

Malvern, PA Job Type:

Contract Job Overview:

Pay Range:

$55hr - $60hr The role involves designing, developing, and deploying full-stack cloud-native applications integrated with Generative AI and Agentic AI solutions using AWS services, while ensuring scalability, security, performance, and production-grade delivery in an enterprise environment.

Requirement/Must Have:

Strong experience in full-stack development (frontend and backend). Hands-on experience with AWS cloud services and cloud-native architecture. Experience building or integrating Generative AI or Agentic AI solutions. Strong proficiency in Python or similar backend programming language. Experience with REST APIs, microservices, and asynchronous processing. Experience with containerization using Docker and orchestration using ECS/EKS. Strong understanding of CI/CD and DevOps practices. Experience working in Agile development environments.

Experience:

Experience building production-grade enterprise systems. Experience working with AI/ML pipelines and cloud-based AI services. Experience in designing scalable and resilient distributed systems.

Responsibilities:

Design, develop, and deploy Agentic and Generative AI solutions using AWS AI services such as SageMaker, Bedrock, Rekognition, Textract, Transcribe, and Translate. Integrate LLMs and foundation models into enterprise applications using AWS Bedrock or custom model endpoints. Build AI pipelines for inference, prompt orchestration, fine-tuning, and evaluation. Implement responsible AI practices including governance, explainability, bias mitigation, and auditability. Architect and deploy cloud-native solutions using AWS services such as EC2, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, Aurora, and Step Functions. Implement Infrastructure as Code using CloudFormation, CDK, or Terraform. Build and manage CI/CD pipelines using GitHub Actions or AWS CodePipeline. Optimize performance, scalability, cost, and reliability using AWS best practices. Implement security best practices including

IAM, KMS, VPC

design, and encryption. Set up monitoring, logging, and alerting using CloudWatch, X-Ray, and OpenSearch. Support production environments including troubleshooting and performance tuning. Collaborate with stakeholders to translate business problems into technical AI solutions.

Should Have:

Experience with responsible AI practices and model governance. Strong understanding of software design patterns and system scalability. Experience with financial or regulated enterprise environments. Knowledge of advanced AWS architecture and optimization techniques.

Skills:

AWS cloud services (SageMaker, Bedrock, Lambda, ECS/EKS, etc.). Generative AI / Agentic AI development. Full-stack development. Python and backend development. Microservices and REST APIs. Docker, CI/CD pipelines.

Terraform / Cloud

Formation / CDK. Monitoring tools (CloudWatch, X-Ray, OpenSearch). Data pipelines and AI model integration.

Qualification And Education:

Bachelor s degree in Computer Science, Engineering, or related field preferred.