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: $60hr - $65hr

Requirement/Must Have:

• Strong experience in fullstack development (frontend + backend).
• Handson expertise with AWS services and cloudnative architectures.
• Practical experience building or integrating Agentic or Generative AI solutions.
• Proficiency in at least one backend language (Python preferred).
• Experience with REST APIs, microservices, and asynchronous processing.
• Familiarity with containerization (Docker) and orchestration (ECS/EKS).

Responsibilities:

• Design, develop, and deploy Agentic and Generative AI solutions using AWS AI services (Amazon SageMaker, Bedrock, Rekognition, Textract, Transcribe, Translate).
• Integrate foundation models / LLMs into applications using Bedrock or custom model endpoints.
• Build AI pipelines for inference, prompt orchestration, finetuning, and evaluation.
• Implement responsible AI practices including auditability, explainability, bias mitigation, and model governance.
• Architect and deploy cloudnative solutions using AWS core services: EC2, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, Aurora, Step Functions.
• Implement Infrastructure as Code (IaC) using CloudFormation, CDK, or Terraform.
• Design CI/CD pipelines leveraging GitHub Actions, AWS CodePipeline, or similar tools.
• Optimize performance, availability, and cost using AWS WellArchitected Framework principles.
• Enforce AWS security best practices (IAM, KMS, VPC design, encryption at rest/in transit).
• Implement monitoring, logging, and alerting using CloudWatch, XRay, and OpenSearch.
• Support compliance requirements (SOC2, ISO, financial services governance where applicable).
• Participate in production support, troubleshooting, and performance tuning.

Skills:

• Strong verbal and written communication skills.
• Excellent communication and presentation skills.
• Ability to communicate effectively with stakeholders.

Qualification And Education:

• Experience building productiongrade systems, not just prototypes.
• Strong understanding of software design patterns, scalability, and resilience.
• Ability to translate business problems into technical AI solutions.
• Experience working in Agile / DevOps teams.