Agentic AI Developers
Nashville, North Carolina, United States of America
Contract
3 weeks ago
Key skills
PythonAIGenerative AIGenAIAgenticAWSTerraformDockerGitHub ActionsECSEKSCloudFormationEC2LambdaS3DynamoDBRDSIAMCloudWatchSageMakerBedrockAPI GatewayCodePipelineGitHubAgileCI/CD
About this role
Role Name: Full Stack AWS AI Engineer
Location: PA Area
Key Responsibilities
Agentic & GenAI
- 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, fine tuning, and evaluation.
- Implement responsible AI practices including auditability, explainability, bias mitigation, and model governance.
- AWS Cloud Architecture & DevOps
- Architect and deploy cloud native 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 Well Architected Framework principles.
- Security, Compliance & Operations
- Enforce AWS security best practices (IAM, KMS, VPC design, encryption at rest/in transit).
- Implement monitoring, logging, and alerting using CloudWatch, X Ray, and OpenSearch.
- Support compliance requirements (SOC2, ISO, financial services governance where applicable).
- Participate in production support, troubleshooting, and performance tuning.
Required Qualifications
Technical Skills
Strong experience in full stack development (front end + back end).
Hands on expertise with AWS services and cloud native 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).
Engineering & Delivery
Experience building production grade 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.