AI Engineer

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

We are strategically positioned to build value, with global footprint across 30 countries.We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.

We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

- +5 years of professional experience in software engineering, AI application development, or related fields, with hands-on experience building and deploying production-ready AI solutions.

- Build AI applications, assistants, agents, and workflow automation components using modern GenAI engineering patterns;

- Design and implement integrations with Azure AI services, Azure AI Foundry, APIs, enterprise systems, data platforms, and internal tools;

- Develop retrieval, tool-use, orchestration, evaluation, monitoring, and guardrail components for production AI solutions;

- Work with data engineers and data scientists to connect models, prompts, workflows, and data pipelines into reliable end-to-end solutions;

- Support the implementation of agentic workflows that can be reused by country teams;

- Improve developer experience, engineering standards, reusable templates, and production readiness for AI software delivery.

- Strong software engineering skills in Python and SQL;

- Experience building GenAI applications, assistants, agents, or AI-enabled workflow automation;

- Hands-on experience with Azure AI services, Azure AI Foundry, or comparable AI platforms;

- Understanding of RAG, prompt and context engineering, tool calling, evaluation, orchestration, and responsible production operation of AI systems;

- Experience working with APIs, cloud-native services, data pipelines, and enterprise integration patterns;

- Comfortable using GenAI 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;