Agentic AI Developer — Full-Stack on AWS

act digital; Porto; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

act digital is seeking a hands-on AI engineer in Porto to design and deliver agentic AI solutions on AWS. You will work across frontend, backend, and agent architectures to translate business use cases into production-ready systems.

Bring experience with AWS services like Lambda and S3, Bedrock and SageMaker, and agent frameworks. You will build end-to-end solutions, deploy them, and continuously improve through RAG techniques.

Qualificações

• Strong experience delivering end-to-end AI solutions.
• Hands-on with AWS services and AI tooling.
• Ability to operate across frontend, backend, and agent architectures.
• Proactive learner with ability to pick up new technologies.

Responsabilidades

• Analyze business use cases and deliver end-to-end solutions.
• Design, develop, and implement agentic AI solutions.
• Build solutions using Strands, Agent Core, and other agent frameworks.
• Develop frontend and backend components to support AI solutions.
• Implement Retrieval-Augmented Generation (RAG) solutions where applicable.
• Build solutions on AWS infrastructure following established standards and best practices.
• Deploy and maintain production-ready solutions.

Conhecimentos

Full-stack development

AWS Lambda & S3

Agentic AI experience

RAG implementation

Bedrock experience

SageMaker experience

Independent delivery

Cross-functional collaboration

Eagerness to learn

Frontend & Backend integration

Ferramentas

AWS ecosystem

Strands

Agent Core

RAG frameworks

Frontend frameworks

Backend services

Descrição da oferta de emprego

act digital is seeking a hands-on AI engineer in Porto to design and deliver agentic AI solutions on AWS. You will work across frontend, backend, and agent architectures to translate business use cases into production-ready systems.

Bring experience with AWS services like Lambda and S3, Bedrock and SageMaker, and agent frameworks. You will build end-to-end solutions, deploy them, and continuously improve through RAG techniques.