Expleo Group
Expleo Group
„Expleo Group“ yra pasaulinis inžinerijos, technologijų ir konsultavimo partneris, padedantis organizacijoms pertvarkyti veiklą, kurti sudėtingus produktus ir tobulinti gamybos bei kokybės procesus. Įmonės veikla apima konsultavimą, gynybos ir logistikos sektorius, o jos kompetencijos sritys – dirbtinis intelektas, skaitmenizacija ir kibernetinis saugumas. 1966 m. įkurta „Expleo“ derina daugiau kaip penkių dešimtmečių patirtį su 18 000 ekspertų komanda, veikiančia 29 šalyse ir padedančia skatinti inovacijas bei veiklos rezultatus.

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.

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

  • 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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