Applied Research AI Engineer

Faktion BV; Antwerpen; Sur place; Plein temps

Avantages offerts par ce poste

Company car and fuel card or mobility budget

Comprehensive hospitalization

Group insurance

Top-tier laptop and smartphone

Flexible hybrid working policy

Résumé du poste

A leading AI solutions company in Belgium is seeking an Applied Research AI Engineer to explore cutting-edge advancements in AI and translate them into practical, scalable solutions. This role involves working at the intersection of research and engineering, implementing AI systems, and collaborating with cross-functional teams. The ideal candidate should have a Master's or Ph.D. in a relevant field, strong Python skills, and experience with modern ML frameworks. A rewarding salary and flexible working environment are offered.

Qualifications

• Master's or Ph.D. in Computer Science, AI, or related field required.
• Strong experience in applied AI and ML, especially in experimentation.
• Excellent Python skills with experience in ML frameworks.

Responsabilités

• Investigate advancements in generative AI and assess their value.
• Design and benchmark AI systems including RAG pipelines.
• Translate research ideas into robust prototypes.

Connaissances

Applied AI

Machine Learning

Natural Language Processing

Python

Communication Skills

Formation

Master's or Ph.D. in Computer Science or related field

Outils

PyTorch

Hugging Face

Docker

FastAPI

Description du poste

As an Applied Research AI Engineer, you will help turn the latest advances in AI into practical, scalable solutions for our customers. You will sit at the intersection of research and engineering: investigating new models, evaluation methods, and system designs, then translating them into prototypes and production-ready building blocks.

We are looking for a highly motivated Applied Research AI Engineer to join our AI engineering team. In this role, you will explore state-of-the-art techniques in areas such as LLMs, retrieval systems, agentic workflows, multimodal AI, evaluation, and fine-tuning, and work closely with engineers, project managers, and customers to bring those innovations into real-world use cases.

Key Responsibilities

• Investigating the latest advancements in generative AI, machine learning, and applied research, and assessing how they can create value for our customers.

• Designing, implementing, and benchmarking AI systems such as RAG pipelines, copilots, agentic workflows, evaluation frameworks, and fine-tuned models.

• Translating research ideas, papers, and experiments into robust prototypes and production-ready components.

• Building reproducible experimentation pipelines for model evaluation, prompt optimization, dataset curation, and system comparison.

• Collaborating with AI engineers, full-stack developers, and project managers to define technical approaches and integrate research outcomes into customer solutions.

• Improving model quality, reliability, latency, and cost-efficiency through systematic experimentation and evaluation.

• Developing and maintaining containerized AI back-ends and research tooling using technologies such as Python, Docker, and FastAPI.

• Creating clear documentation and technical communication around experiments, findings, trade-offs, and implementation decisions.

• Contributing to internal best practices around evaluation-driven development, experimentation, and applied AI research.

• Sharing knowledge with the team through technical mentorship, internal demos, and research reviews.

Qualifications

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related quantitative field.

• Strong hands‑on experience in applied AI, machine learning, NLP, or generative AI, ideally in both experimentation and implementation.

• Excellent Python skills and experience with modern ML and LLM frameworks such as PyTorch, Hugging Face, LangGraph, LangChain, or similar tooling.

• Solid understanding of transformer models, embeddings, fine‑tuning, prompt engineering, and evaluation methodologies.

• Experience designing experiments and interpreting results in a rigorous, pragmatic way.

• Ability to move from research concepts to working prototypes and production-oriented solutions.

• Strong understanding of software engineering fundamentals, data structures, algorithms, and version‑controlled development workflows.

• Familiarity with cloud platforms and AI services such as Azure.

• Strong communication skills and the ability to explain complex technical ideas to both technical and non-technical stakeholders.

• A proactive and curious mindset: you like exploring new ideas, but you also know how to focus on what works in practice.

• Fluent in English. Dutch or French is a plus.

Nice to Have

• Publications in relevant AI/ML conferences and journals.

• Open-source contributions, research repos, or public projects demonstrating strong applied AI work.

• Experience with LLM evaluation, observability, and benchmarking frameworks.

• Experience with multimodal systems, synthetic data generation, or post‑training methods.

• Experience deploying AI solutions in enterprise environments.

• Experience in one of our focus domains: Data Quality, Retail, Manufacturing, Finance.

• Experience working in consulting, customer-facing delivery, or cross‑functional product teams.

We Offer

• A rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget, comprehensive hospitalization, group insurance, and a top‑tier laptop and smartphone.

• A company culture that stimulates both individual and team development, fostering professional growth.

• The opportunity to work on meaningful, innovative AI projects that bridge research and real‑world impact.

• Time and space to investigate new tools, frameworks, and methods that can strengthen our technical offering.

• Regular team-building activities and gatherings, providing great opportunities to unwind and engage with our vibrant team initiatives.

• A flexible hybrid working policy to choose where, how, and when you want to work.

• Opportunities to represent Faktion at industry conferences, technical events, and research-driven customer conversations.