AI Engineer (RAG)

Are you excited about driving innovation in AI and building solutions that truly make an impact Do you have experience with Retrieval-Augmented Generation (RAG) and enjoy designing architectures that turn data into actionable insights Whether youre just starting your career or have years of experience wed love to hear from you!

From day one youll work on internal AI projects within our AI Lab gaining hands-on experience with advanced solutions. Examples include secure chatbot frameworks based on RAG architectures AI-powered KYC & AML mastery and OKR performance management using multi-agent systems.

To support your growth we offer an extensive AI training program including specialized courses and certifications. Our fast-growing portfolio of assignments within the financial sector will allow you to further develop as an expert.

Learn more about our Data and AI Practices

Weve launched the first edition of the Journal of Financial Services (JoFS) published by the Projective Group Institute. Download it for free at .

Topics include: digital currencies AI in payments and cross-border regulatory challenges ...

What will you do

As an AI Engineer with a strong focus on Retrieval-Augmented Generation (RAG) you will:

• Design and implement RAG architectures using open-source and proprietary LLMs (i.e. LLaMa Gemini ChatGPT Claude) integrating outputs into user-facing applications to ensure responses are grounded reliable and privacy-compliant.

• Build and optimize RAG pipelines that combine large language models with domain-specific retrieval systems enabling accurate context-aware content surfacing for complex use cases.

• Implement AI solutions by identifying use cases and supporting the creation deployment and integration of AI systems into production environments.

• Manage and preprocess data collecting cleaning and preparing large datasets for model training and evaluation.

• Develop and fine-tune models ensuring performance scalability and reliability across applications.

• Stay ahead of the curve continuously exploring advancements in AI RAG and related technologies to drive innovation and deliver cutting-edge solutions.

Your skills & qualifications:

• A Master Degree in Computer Science Data Science Mathematics Artificial Intelligence or a related quantitative field

• Fluent in English and Dutch or French

• Experience or interest in Retrieval-Augmented Generation (RAG) and building architectures that combine LLMs with domain-specific retrieval systems is a big plus

• You have professional experience in the domain of machine learning or generative AI

• You have a good understanding of large Language Models (LLMs) and Generative AI techniques and are familiar with libaries such as PyTorch Scikit-learn and Pandas

• You have a good knowledge of Python

• You can collaborate with cross-functional teams to translate business problems into technical AI solutions

What can you expect from us

At Projective Group we believe in rewarding ambition and supporting growthboth professionally and personally. From a competitive benefits package to a vibrant company culture we make sure you have everything you need to thrive.

• A competitive salary topped with a daily net allowance meal - and eco vouchers.

• A flexible FIP budget for bike leasing multimedia or mobility expenses.

• A company car with charging setup. Prefer something else Switch it up with a mobility budget your call.

• 5.000 annual training budget to boost your growth. You choose how to invest it.

• A yearly company bonus with additional referral and sales incentives.

• A hybrid work setup with flexible hours and part-time remote options.

• Regular fun events (from game nights to padel tournaments and everything in between) and a yearly group offsite abroad.

• An international setting with plenty of growth opportunities serving top clients in the financial sector.

• A scale-up spirit with a can-do mentality all within a solid and established corporate framework.

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At Projective Group we celebrate diversity and inclusion. We are an equal opportunity employer and welcome candidates of all backgrounds ethnicities genders religions and abilities.