FullStack Engineer (AWS AI)

performance tuning Gen AI AWS Cloud Architecture DevOps & CI/CD Python terraform production support rest apis, We are seeking a Full Stack AWS AI Engineer (5+ Years) to design, build, and scale cloud native, AI-powered applications on AWS. This role blends front end and back end engineering, machine learning / GenAI integration, and AWS cloud architecture, with strong emphasis on security, scalability, and production readiness. The engineer will work closely with product, data science, and platform teams to operationalize AI capabilities into real world applications., 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, XRay, and OpenSearch.
• Support compliance requirements (SOC2, ISO, financial services governance where applicable).
• Participate in production support, troubleshooting, and performance tuning.

Technical Skills:

• Strong experience in fullstack development (frontend + backend).
• 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.

3.73.7 out of 5 stars Malvern, PA Hybrid work $39.30 - $61.40 an hour - Contract, Pulled from the full job description

• Health insurance
• Retirement plan
• Vision insurance
• Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.