Qualifications
Key ResponsibilitiesExplore and assess the latest innovations in generative AI, machine learning, and applied research to create customer value. Design, implement, and evaluate AI systems including RAG pipelines, copilots, agentic workflows, and fine-tuned models. Translate research concepts, papers, and experiments into robust prototypes and production-ready components. Develop reproducible experimentation pipelines for model evaluation, prompt optimization, dataset curation, and system comparison. Collaborate with AI engineers, full-stack developers, and project managers to define technical strategies and integrate research results into client solutions. Enhance model quality, reliability, latency, and cost-effectiveness through systematic experimentation and evaluation. Maintain and develop containerized AI back-ends and research tools utilizing technologies such as Python, Docker, and FastAPI. Create thorough documentation and technical communications regarding experiments, findings, trade-offs, and implementation decisions. Contribute to internal best practices in evaluation-driven development, experimentation, and applied AI research. Facilitate knowledge sharing within the team through technical mentorship, internal demonstrations, and research reviews. RequirementsMaster's or Ph. D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related quantitative field. Demonstrated hands-on experience in applied AI, machine learning, NLP, or generative AI, with a focus on both experimentation and implementation. Proficient in Python and familiar with modern ML and LLM frameworks such as PyTorch, Hugging Face, LangGraph, LangChain, or similar tools. Strong understanding of transformer models, embeddings, fine-tuning, prompt engineering, and evaluation methodologies. Experience in designing experiments and interpreting results in a rigorous manner.
About the job
Join our dynamic team as an Applied Research AI Engineer, where you will be instrumental in transforming cutting-edge AI advancements into practical, scalable solutions for our clientele. Your role will bridge the gap between research and engineering; you will delve into new models, evaluation techniques, and system architectures, ultimately transforming these insights into working prototypes and production-ready components.
We are seeking a passionate and motivated individual to become a vital part of our AI engineering team. In this position, you will investigate state-of-the-art methodologies in areas such as Large Language Models (LLMs), retrieval systems, agentic workflows, multimodal AI, evaluation, and fine-tuning. You will collaborate closely with engineers, project managers, and clients to deploy these innovations in meaningful real-world applications.
About Faktion BV
Faktion BV is at the forefront of AI innovation, dedicated to delivering advanced technology solutions that empower businesses and enhance customer experiences. Our team is composed of skilled professionals who are passionate about harnessing the power of AI to drive meaningful change.
