IA Engineer

At InnoIT, we are looking for an AI Engineer.

You will work on turning complex, unstructured business documents into reliable structured data. This means designing and improving pipelines for extraction, classification, validation and transformation, while choosing the right approach for each challenge: LLMs, vision-language models, OCR, NLP, deterministic logic, parsers or classifiers.

You will collaborate closely with Product, Data Scientists, Data Engineers, Platform teams and business stakeholders to assess new use cases, build reusable AI capabilities and bring robust solutions into production.

• Develop and evaluate document-processing pipelines for complex, variable document formats.
• Build prompts, structured outputs, validation logic and post-processing components.
• Create representative evaluation datasets, ground-truth labels and automated regression tests.
• Improve accuracy and robustness through systematic analysis and iteration.
• Develop clean, modular and maintainable Python services and REST APIs.
• Implement logging, monitoring and observability to understand production performance and failures.
• Optimise solutions for reliability, scalability, latency and cost.
• Document technical decisions, limitations and evaluation results.

• 3+ years of relevant experience in AI Engineering, Machine Learning Engineering or Data Science.
• Hands-on experience with LLMs, Generative AI, prompt engineering and model evaluation.
• Experience with unstructured or semi-structured information and document-processing solutions.
• Strong Python skills and sound software-engineering practices.
• Experience with REST API integration, monitoring and observability.
• Familiarity with version control, code review, CI/CD and automated testing.
• Ability to identify when an LLM is the right solution and when rules, regex, parsers or classifiers are more appropriate.
• Fluent English and the ability to communicate technical trade-offs clearly to non-technical audiences.
• Relevant degree in Computer Science, AI, Data Science, Mathematics, Engineering or a related field.

Work model and location:
Not specified in the job description.

• A hybrid working model that supports a healthy work-life balance.
• Competitive salary and a flexible compensation plan.
• An annual budget for training and professional development.
• Opportunities to take part in technology communities and industry events.
• Ongoing follow-up and professional support.
• A development and growth plan tailored to your goals.

At InnoIT, we believe talent thrives in an environment where learning, innovation and enjoying the journey go hand in hand.

Join our team, contribute to innovative projects and continue growing alongside professionals who are passionate about technology.

At InnoIT, we actively promote diversity, equity and inclusion. We welcome people from all backgrounds, experiences and professional paths, and we particularly encourage applications from groups traditionally underrepresented in the technology sector.

We assess every application objectively and fairly, ensuring equal opportunities throughout the selection process. We are also committed to making any reasonable adjustments required to provide an accessible and inclusive experience.

We do not discriminate based on gender, age, origin, nationality, sexual orientation, gender identity or expression, religion, disability, or any other status protected by applicable law.

We work to build a diverse, respectful and inclusive workplace where everyone has equal opportunities for professional growth, development and recognition.

If you’re interested in working in an international environment with modern technologies, we’d love to hear from you!