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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior AI Engineer - **Company:** Itineris - **Location:** Gent, Belgium - **Experience:** Starter - **Contract:** Internship / Graduate position - **Skills:** Clean Code Principles, Artificial Intelligence, Data Analysis, Microsoft Azure, Code Review, Data Visualization, Python (Programming Language), SQL Azure, Language Modeling, Regression Testing, Power BI, Standard Sql, Search Technologies, Software Engineering, SQL Databases, Data Logging, Delivery Pipeline, Large Language Models, Git, Fastapi, Information Technology, Software Version Control, Docker - **Published:** September 24, 2026 - **Apply:** https://www.adzuna.be/details/5895311739 ## About the Role * A bachelor's or master's degree in computer science, artificial intelligence, data science, software engineering, or a related discipline, or equivalent practical experience * Hands-on experience with Python through employment,internships, academic projects, or personal projects * Knowledge of data analysis using tools such as Python and SQL * Ability to approach an unclear problem through questions, hypotheses, experiments, and evidence. * Willingness to write clean code, tests, and technical documentation * Experience with Git and automated development pipelines * Clear communication skills and the ability to explain what you tried, what happened, and what you recommend * Curiosity, attention to detail, and a willingness to learn from unsuccessful experiments * Ability to work collaboratively and accept guidance and feedback Useful * An understanding of how language models and AI agents work at a practical level * Interest in prompts, tool calling, knowledge retrieval, agent workflows, and evaluation * Experience building a small application or prototype using a language model * Familiarity with evaluation techniques such as scoring rubrics, test datasets, human review, or automated regression tests. * Exposure to data visualisation tools suchas Power BI, or Python visualization libraries. * Basic knowledge of containers (Docker) and Azure * Experience with AI-assisted development tools Our Stack * Python, FastAPI, LangChain/LangGraph, Docker, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Container Apps, AKS, Cosmbos DB, Azure SQL, Copilot Studio ## Description We are looking for a Junior AI Engineer to join our AI Practice. In this role, you will help design, configure, test, and improve AI agents. You will investigate how agents behave, identify where they succeed or fail, and use experiments and data analysis to make their results more reliable and useful. You will also contribute to feasibility studies for new AI initiatives. This means understanding the business problem, exploring available data, testing possible solution approaches, and documenting what you learn. When an experiment proves valuable, you will work with more experienced team members to turn it into a maintainable solution that can be used by customers What you will do... Build and configure AI agents * Set up AI agents using code-based tools * Configure instructions, prompts, knowledge sources, tools, and orchestration flows * Connect agents to approved business data and services * Test how agents behave across expected, unexpected, and incomplete user requests * Document agent configurations so experiments can be understood and repeated Analyse and improve agent behaviour * Review agent responses, execution traces, tool calls, and logs * Identify recurring failure patterns such as incorrect answers, weak reasoning, poor source use, or unsuccessful tool selection * Create representative test questions and evaluation datasets * Define practical criteria for assessing answer quality, reliability, and usefulness * Compare alternative prompts, models, tools, retrieval approaches, or orchestration patterns * Turn findings into clear recommendations and improvement actions Run feasibility studies * Work with use-case leads, engineers, customers, and subject matter experts to understand a business problem * Identify the questions that a feasibility study needs to answer * Explore available data using Python, SQL, or visualization tools * Assess data quality, completeness, relevance, and limitations * Build small prototypes to test whether an idea is technically and practically viable * Compare possible solution approaches and describe their trade-offs * Present findings, risks, assumptions, and recommended next steps Productize successful experiments * Help move promising prototypes from notebooks or isolated experiments into reusable solution components * Write clear, maintainable Python code * Add tests, logging, configuration, and documentation * Contribute to evaluation and regression pipelines * Use version control and follow the team's engineering practices * Support deployment, monitoring, and troubleshooting * Improve solutions based on evaluation results and feedback from real users * Share learnings so that successful approaches can be reused across other use cases Collaborate and learn * Work closely with AI engineers, platform engineers, product owners, delivery leads, and domain experts. * Ask questions early when requirements, data, or expected outcomes are unclear * Communicate findings in plain language to technical and non-technical colleagues * Participate in code reviews, design discussions, demonstrations, and retrospectives * Keep up with relevant developments in AI agents, language models, evaluation, and supporting tools * Gradually take ownership of small use cases or defined parts of a larger solution ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)