Expleo Group
Expleo Group
Expleo Group is a global engineering, technology, and consulting partner helping organizations transform operations, develop complex products, and improve manufacturing and quality processes. Its work spans consulting, defense, and logistics, with capabilities in artificial intelligence, digitalization, and cybersecurity. Founded in 1966, Expleo combines more than five decades of experience with a team of 18,000 experts working across 29 countries to support innovation and operational performance.

AI Engineer, GenAI and Agentic Workflows

Build production generative AI applications and agentic workflows at Expleo Group, a global engineering, technology, and consulting provider. Connect Azure AI services, APIs, data pipelines, and enterprise systems.

Description

  • Build AI applications, assistants, agents, and workflow automation using modern generative AI engineering practices.
  • Design integrations across Azure AI services, Azure AI Foundry, APIs, enterprise systems, data platforms, and internal tools.
  • Develop retrieval, tool use, orchestration, evaluation, monitoring, and safeguards for production AI solutions.
  • Partner with data engineers and data scientists to connect models, prompts, workflows, and data pipelines into reliable end-to-end solutions.
  • Help implement agentic workflows that country teams can reuse.
  • Improve developer experience, engineering standards, reusable templates, and production readiness for AI software delivery.

Requirements

  • At least five years of professional experience in software engineering, AI application development, or a related field.
  • Practical experience building and deploying production-ready AI solutions.
  • Strong software engineering skills in Python and SQL.
  • Experience building generative AI applications, assistants, agents, or AI-enabled workflow automation.
  • Hands-on experience with Azure AI services, Azure AI Foundry, or comparable AI platforms.
  • Understanding of retrieval-augmented generation (RAG), prompt and context engineering, tool calling, evaluation, orchestration, and responsible operation of production AI systems.
  • Experience with APIs, cloud-native services, data pipelines, and enterprise integration patterns.
  • Comfort using generative AI software engineering tools such as GitHub Copilot, Cursor, or OpenCode.
  • Experience with Microsoft Agent Framework, LangChain, MCP, or comparable agent frameworks.
  • Experience with agentic workflow builders, dashboards, or user-facing AI applications.

Benefits

  • Hybrid work arrangement.
  • Permanent employment.
  • Opportunity to work with a global engineering, technology, and consulting services provider.
  • Exposure to projects and teams across a global presence spanning 30 countries.
  • Work with pan-European technology centres and best-shoring capabilities.

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