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Yields is a fast-growing international tech company helping organizations govern the algorithms and AI systems at the heart of modern decision-making, from financial risk models to machine learning applications. Our award-winning SaaS platform supports the full lifecycle: from model development and validation to documentation and continuous risk monitoring. Built for regulated industries, Yields combines automation, transparency, and auditability in one modular, scalable solution. Whether for traditional model risk management or modern AI governance, we help teams reduce risk, accelerate workflows, and stay compliant with evolving regulations such as the EU AI Act. Trusted by leading firms worldwide and backed by top-tier investors including Volta Ventures, Pamica NV, and G+D Ventures, Yields is setting the standard for responsible and future-ready model and AI oversight.
The listing
We are looking for a Senior Generative AI Engineer to lead the integration of cutting-edge AI into our SaaS platform. In this key role, you will embed LLM-powered assistants directly into our product, enabling smarter workflows and a significantly enhanced user experience.
You’ll serve as the bridge between backend systems, frontend components, and external AI providers—designing how AI is woven into the product in a secure, efficient, and impactful way. This is a hands-on, collaborative role where you’ll work across engineering, DevOps, and business teams to deliver AI features that are performant, secure, and intuitive.
What You'll Do:
Must-Have Skills:
Yields is an international technology company providing an award-winning SaaS suite for financial institutions to stay in control of their models. The modular and model agnostic solution empowers firms to oversee, test and document their models at scale while ensuring full reproducibility and auditability.
Leading global and local firms have successfully deployed the Yields MRM Suite to boost the effectiveness and efficiency of their model development and validation activities. Yields is backed by renowned investment firms including investors Volta Ventures, Pamica NV, and G+D Ventures.
The listing
We are looking for a Senior Generative AI Engineer to lead the integration of cutting-edge AI into our SaaS platform. In this key role, you will embed LLM-powered assistants directly into our product, enabling smarter workflows and a significantly enhanced user experience.
You’ll serve as the bridge between backend systems, frontend components, and external AI providers—designing how AI is woven into the product in a secure, efficient, and impactful way. This is a hands-on, collaborative role where you’ll work across engineering, DevOps, and business teams to deliver AI features that are performant, secure, and intuitive.
What You'll Do:
- AI Integration & Orchestration: Own the LLM-based AI assistants in our SaaS product. Work with backend/frontend teams to build clean API integrations, manage data flow, and optimize system performance.
- Prompting & Context Injection: Design and manage prompts and retrieval strategies (e.g. RAG) to ensure that AI responses are relevant and aligned with product goals. Help customers bring their own AI models into our assistant.
- Security & Access Control: Ensure strict compliance with multitenancy and role-based access controls (RBAC). The AI should only access what it’s supposed to—nothing more.
- Collaboration: Operate within a cross-functional team of engineers, product stakeholders, and DevOps. Translate business goals into working AI-backed features.
- Innovation & Learning: Stay current with trends in LLMs, AI tooling, and GenAI best practices. Recommend and implement improvements based on technical and user feedback.
Must-Have Skills:
- Deep knowledge of LLMs, prompt engineering, and AI integration via APIs
- Hands-on experience with tools like LangChain, LangGraph, LangSmith, or similar orchestration frameworks
- Solid backend development experience (ideally in a SaaS context) and familiarity with SQL-based databases
- Understanding of multitenant security models, RBAC, and data access patterns
- Strong communicator and collaborator; comfortable working across product and tech teams
- Experience with RAG (retrieval-augmented generation) and agentic AI assistants
- Familiarity with AI governance, data anonymization, and security compliance
- Exposure to DevOps workflows (CI/CD, deployment automation)
- User-centric thinking — understanding how AI impacts UX and user productivity
- Lots of autonomy and the opportunity to significantly contribute to a fast-growing tech company
- Flexible working hours and location although we love to connect in person as least 2 days per week
- A young and open company culture with a flexible and remote-friendly work environment
- Competitive salary + extras like eco cheques, hospitalization insurance, meal vouchers, etc.
- Personal development budget to support your growth
- The right tools to do your job (Mac or Dell — your choice!)
- Cookies, candy & fruit in the office — because energy matters
- Flexible mobility budget – use it for commuting, a leased car, or even paying off your home or rent
Yields is an international technology company providing an award-winning SaaS suite for financial institutions to stay in control of their models. The modular and model agnostic solution empowers firms to oversee, test and document their models at scale while ensuring full reproducibility and auditability.
Leading global and local firms have successfully deployed the Yields MRM Suite to boost the effectiveness and efficiency of their model development and validation activities. Yields is backed by renowned investment firms including investors Volta Ventures, Pamica NV, and G+D Ventures.
- Founded in 2017
- Present in the sector of Bankwezen, Computersoftware, Fintech.
- The average age is 35.
- Currently working in 2 offices.
Key Skills
Ranked by relevance
ai
saas
devops
machine learning
cicd
sql
ux
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- Posted
- Oct 22, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Ghent
- Company
- Cooder
Industries
IT Services
IT Consulting
Categories
Information Technology
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