Generative AI Engineer — LLM & RAG Specialist (Hybrid)

Accenture Portugal

Lisboa

Híbrido

EUR 45 000 - 75 000

Tempo integral

14 dias+
Gerador de candidaturas

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Resumo da oferta

Accenture Portugal is seeking an AI Engineer to join their team in Lisbon, offering roles across multiple seniority levels, including Junior Engineer, Senior, Team Lead, and Managers. You will design and develop AI-powered solutions with a focus on generative AI and machine learning technologies. Responsibilities include building optimized applications, collaborating with teams, and ensuring AI safety practices. This is a hybrid position, blending remote and on-site work.

Qualificações

  • Experience working with Large Language Models (LLMs) and generative AI ecosystems.
  • Strong proficiency in Python and modern software engineering practices.
  • Solid understanding of AI application architectures, including Retrieval-Augmented Generation (RAG).

Responsabilidades

  • Research, design, and develop AI-powered solutions using state-of-the-art ML and generative AI technologies.
  • Build and optimize LLM-based applications, including RAG pipelines and agentic workflows.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.

Conhecimentos

Experience with Large Language Models (LLMs)
Proficiency in Python
Understanding of AI application architectures
Experience with vector databases
Knowledge of agentic frameworks and orchestration
Understanding of AI safety and evaluation
Experience with cloud platforms (AWS, Azure, GCP)
Understanding of MLOps practices
Analytical and problem-solving skills

Descrição da oferta de emprego

Accenture Portugal is seeking an AI Engineer to join their team in Lisbon, offering roles across multiple seniority levels, including Junior Engineer, Senior, Team Lead, and Managers. You will design and develop AI-powered solutions with a focus on generative AI and machine learning technologies. Responsibilities include building optimized applications, collaborating with teams, and ensuring AI safety practices. This is a hybrid position, blending remote and on-site work.
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