**Description:** ---------------- **Design, develop, and deploy full-stack solutions based on microservices and APIs, ensuring effective integration between cloud services (primarily AWS) and Artificial Intelligence components, including LLMs and serverless services.** **Key Technical Skills** * **️ Cloud and DevOps** **Extensive experience in AWS, mastering services such as S3, DynamoDB, Lambda, API Gateway, CloudFormation, and CI/CD pipelines.** **Knowledge of integrating and deploying microservices using containers (Docker) and Kubernetes.** **Desirable additional experience in Azure or GCP, understanding their components and integration mechanisms.** **Artificial Intelligence and Integrations** * **Proven experience in Cloud \+ AI integrations, focusing on Large Language Models (LLMs).** * **Knowledge of tokenization and communication mechanisms between models via APIs and cloud services.** * **Ability to implement solutions that connect AI models with serverless architectures or microservices.** **Main Responsibilities** * **Design and develop scalable microservices and APIs on AWS.** * **Implement and maintain continuous integration and deployment pipelines (CI/CD).** * **Integrate AI and LLM components into production environments.** * **Manage containers, serverless functions (Lambda), and infrastructure-as-code resources.** * **Collaborate with internal AI and Cloud teams to evolve the technology architecture and propose new solutions.** **We're waiting for you at KPaz!**