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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # FullStack Engineer (AWS AI) - **Company:** Capgemini - **Location:** Malvern, PA, United States - **Experience:** Expert - **Salary:** $81,744.0 - $127,712.0 - **Contract:** Temporary contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Software Applications, Continuous Integration, Software Design Patterns, DevOps, Amazon DynamoDB, Github, Identity and Access Management, Python (Programming Language), Machine Learning, Performance Tuning, Cloud Services, Systems Integration, Data Logging, Delivery Pipeline, Large Language Models, Generative AI, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Backend, Cloudformation, Amazon Relational Database Service, Containerization, AI Platforms, Machine Learning Operations, Front End Software Development, Cloudwatch, Api Gateway, Restful APIs, Terraform, Docker, Microservices - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bfeac083f625981a ## About the Role 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. ## Description 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. ## Related Videos - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)