Applied Research AI Engineer
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Posted on:
Yesterday
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1 Vacancy
Job Summary
Job description
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 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.
Job requirements
Masters 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.
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About Company
Faktion is a boutique AI firm, and combines deep industry experience and machine learning expertise, hereby successfully enabling leading organizations to grow their top line or strengthening their bottom line, by using artificial intelligence.
