AI Software Engineer - LLM Services

I.R.I.S., part of the Canon Group, is a leading provider of intelligent solutions for the digital transformation of paper-based information. Our products and technologies are used by organizations worldwide and distributed through a strong network of partners. With offices in Germany, the Benelux region, and the United States, we combine international reach with a strong focus on innovation and future-oriented solutions.

As an AI Software Engineer – LLM Services, you will help design and build AI‑powered services that bring Large Language Models and cloud‑based AI capabilities into real‑world products. Working closely with other software engineers, architects, and product teams, you will contribute to innovative solutions used by customers around the world.

Responsibilities

• Develop and implement AI‑powered software services, with a focus on Large Language Models and cloud‑based AI capabilities
• Build and maintain robust backend services and APIs using C#/.NET
• Integrate LLMs and AI services into product workflows across applications and services
• Prototype AI‑based features such as document understanding, information extraction, summarization, classification, entity recognition, or intelligent automation
• Experiment with prompts, model behavior, AI service design, and practical evaluation of AI output quality
• Collaborate with product owners, architects, software developers, and other technical experts to shape innovative AI‑powered products
• Continuously improve existing services with a focus on performance, reliability, scalability, cost, and maintainability
• Contribute to technical discussions and help identify practical and valuable applications of AI and LLM technologies in real‑world products
• Showcase AI innovations through demos and presentations for internal stakeholders, customers, partners, and events
• Create clear and concise documentation for technical designs, APIs, development decisions, and AI service behavior
• Contribute to engineering excellence by delivering clean, maintainable, and reliable software within an agile development environment.

Qualifications and Skills

• Degree in computer science, software engineering, artificial intelligence, data science, mathematics, or related field – or equivalent practical experience
• Strong practical knowledge of C# and .NET backend development
• Experience building REST APIs or service‑oriented applications
• Knowledge of agile development tools and processes such as Jira, Git, Jenkins, or similar tools
• Passion for Artificial Intelligence, Generative AI, and Large Language Models
• Ability to work independently, take initiative, and structure work even when requirements are still evolving
• Comfortable presenting technical work, preparing demos, and explaining AI‑related topics to technical and non‑technical audiences
• Team‑oriented, curious, proactive, and enthusiastic about the fast‑moving AI ecosystem
• Excellent communication skills (written and spoken) in English plus good knowledge of either French, German, or Dutch

Bonus Points for

• Hands‑on experience with LLM APIs, prompt engineering, document AI, RAG, embeddings, automation, or machine learning through professional, academic, or personal projects.
• Understanding of CI/CD, Docker, cloud deployment, or DevOps practices
• Knowledge of Python for AI prototyping, scripting, data analysis, or model experimentation
• Experience with AI frameworks or tools such as OpenAI/Azure OpenAI, Hugging Face, LangChain, Semantic Kernel, PyTorch, scikit‑learn, or similar technologies
• Familiarity with document processing, OCR, data extraction, information retrieval, search, or classification

We offer

• The opportunity to work on cutting‑edge AI and LLM‑powered solutions used across multiple products
• An international and dynamic working environment within a growing company
• Exciting and innovative projects with global reach
• Modern technologies and the opportunity to actively shape technical decisions
• Short decision‑making processes, flat hierarchies, and an open company culture
• Individual learning, development, and career growth opportunities
• Flexible working hours and a hybrid work model
• Competitive and performance‑based compensation
• JobRad bike leasing program to support sustainable and healthy mobility
• Long‑term career prospects within a motivated and collaborative team