Remote GenAI Engineer (AWS Bedrock)

Keyrus; Lisboa; Presencial; EUR 45 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Meal allowance €10.20/day

Flexible benefits

Private medical insurance

22 days annual leave

Continuous learning

International environment

Resumo da oferta

Keyrus Portugal is seeking an AI Engineer to help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making in an AWS environment. This role blends hands-on development, cloud engineering, solution design, and client delivery, moving AI initiatives from PoC to production within enterprise-scale environments.

Collaborate with Cloud and Data Engineers and stakeholders; we offer a competitive salary and a collaborative,

Qualificações

• Experience delivering Generative AI in production environments.
• Experience implementing RAG architectures and LLM-powered applications.
• Strong Python development experience.
• Hands-on experience with Amazon Bedrock and modern GenAI tooling.
• Strong understanding of API development.

Responsabilidades

• Design and develop Generative AI applications using Amazon Bedrock, in AWS environments.
• Build RAG solutions using Bedrock Knowledge Bases and enterprise data sources.
• Develop AI services with Python and Boto3.
• Design and optimise RAG pipelines and context management.
• Implement semantic search with OpenSearch.

Conhecimentos

Python

Bedrock

Boto3

OpenSearch

RAG architectures

LLM evaluation

API development

Formação académica

Computer Science / AI background

Ferramentas

Bedrock Agents

AgentCore

Knowledge Bases

OpenSearch

Descrição da oferta de emprego

Keyrus Portugal is seeking an AI Engineer to help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making in an AWS environment. This role blends hands-on development, cloud engineering, solution design, and client delivery, moving AI initiatives from PoC to production within enterprise-scale environments.

Collaborate with Cloud and Data Engineers and stakeholders; we offer a competitive salary and a collaborative,