Inetum

AI Agents Engineer / AI Engineer

JavaScriptTypeScriptPythonAWS
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Company Description

Inetum is a European leader in digital services, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

Job Description

  1. Design, development, and implementation of Artificial Intelligence agents to support business processes;
  1. Development of solutions based on Generative AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures;
  1. Integration of AI solutions with enterprise systems, applications, APIs, and corporate platforms;
  1. Process automation through the orchestration of intelligent agents and workflows;
  1. Development and optimization of prompts, tools, memory, and reasoning mechanisms for agents;
  1. Monitoring, testing, optimization, and maintenance of AI solutions in a production environment;
  1. Collaboration with multidisciplinary teams to ensure the adoption and scalability of implemented solutions.

Qualifications

  1. Proven experience in the design and development of AI agents;
  1. Solid knowledge in Generative AI, LLMs, RAG, and agent frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar);
  1. Experience in integrating AI solutions with enterprise systems and APIs;
  1. Knowledge of process automation and workflow orchestration;
  1. Experience in Cloud environments (Azure, AWS, or Google Cloud Platform) and AI services;
  1. Knowledge of programming languages such as Python, JavaScript/TypeScript, or equivalents;

Language Requirements

  1. Portuguese mandatory (fluent);
  1. English intermediate level (B1/B2).
  1. Familiarity with MLOps practices, observability, and governance of AI solutions will be valued.

Additional Information

Expected start date: immediate;

Work model: hybrid (3 days in office and 2 days remote per week);

Location: Lisbon - Parque das Nações.

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