Expleo Group ir globāls inženierzinātņu, tehnoloģiju un konsultāciju partneris, kas palīdz organizācijām pārveidot darbību, izstrādāt sarežģītus produktus un uzlabot ražošanas un kvalitātes procesus. Uzņēmuma darbība aptver konsultācijas, aizsardzības nozari un loģistiku, bet tā kompetences ietver mākslīgo intelektu, digitalizāciju un kiberdrošību. Expleo, kas dibināts 1966. gadā, apvieno vairāk nekā piecu gadu desmitu pieredzi ar 18 000 ekspertu komandu, kas strādā 29 valstīs, lai atbalstītu inovācijas un darbības rezultātus.
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.
Apraksts
- 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.
Prasības
- 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.
Priekšrocības
- 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.