GenAI Engineer - Azure AI & Production Systems

Expleo Group; Lisboa; On-site; EUR 60,000 - 90,000; Full time

Job summary

Expleo Group is seeking an experienced AI engineer to design and deploy GenAI-powered applications, assistants, and automation. You will work with Azure AI services, data pipelines, and enterprise integrations to deliver reliable, production-grade AI solutions.

You will collaborate with data engineers and data scientists to connect models, prompts, and workflows, while improving tooling and standards for production readiness.

Qualifications

• 5+ years of professional software engineering or AI application development.
• 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.

Responsibilities

• 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.

Skills

Python and SQL

GenAI applications

Azure AI services

RAG & prompt engineering

APIs & data pipelines

GenAI tooling

Tools

GitHub Copilot

Cursor

OpenCode

Job description

Expleo Group is seeking an experienced AI engineer to design and deploy GenAI-powered applications, assistants, and automation. You will work with Azure AI services, data pipelines, and enterprise integrations to deliver reliable, production-grade AI solutions.

You will collaborate with data engineers and data scientists to connect models, prompts, and workflows, while improving tooling and standards for production readiness.