GenAI Engineer: Build Secure, Scalable AI Solutions

Amgen; Lisboa; Presencial; EUR 60 000 - 110 000; Tempo integral

Resumo da oferta

AMGEN Capability Center Portugal in Lisbon is expanding its GenAI team to accelerate enterprise AI initiatives. You will design, build, and deploy secure LLM-powered solutions, including agents, Custom GPTs, and retrieval-augmented systems, across approved platforms.

The role emphasizes collaboration with data engineers and platform teams, applying responsible AI practices and building scalable, observable services using Python, TypeScript, and modern web technologies.

Qualificações

• Master's or bachelor's degree in a relevant field with several years of experience.
• Proficiency in Python with building production-grade apps and APIs.
• Experience designing GenAI/AI-powered solutions and retrieval pipelines.
• Strong knowledge of cloud-native design and AWS services.
• Ability to implement secure, scalable, observable AI systems.

Responsabilidades

• Design, develop, test, and deploy GenAI solutions on enterprise platforms.
• Implement prompt strategies, embeddings, retrieval, and tool integration.
• Build scalable RAG pipelines grounded in enterprise data.
• Collaborate with cross-functional teams and ensure security and quality.
• Contribute to CI/CD pipelines and maintain technical runbooks.

Conhecimentos

4+ years software development

GenAI applications

Python

prompt design

embeddings

vector databases

API design

TypeScript

React

Next.js

SQL

AWS

CI/CD

gxP/responsible AI

communication

Formação académica

Master's degree in CS/IT/Engineering

Bachelor's degree in CS/IT/Engineering

Ferramentas

AWS

Amazon Bedrock

AWS Lambda

Amazon EKS

API Gateway

IAM

n8n

LangChain

OpenAI APIs

GitHub Copilot

ChatGPT Enterprise

Descrição da oferta de emprego

AMGEN Capability Center Portugal in Lisbon is expanding its GenAI team to accelerate enterprise AI initiatives. You will design, build, and deploy secure LLM-powered solutions, including agents, Custom GPTs, and retrieval-augmented systems, across approved platforms.

The role emphasizes collaboration with data engineers and platform teams, applying responsible AI practices and building scalable, observable services using Python, TypeScript, and modern web technologies.