AI Engineer; NL

BBD is an international custom software solutions company that solves real-world problems with innovative solutions and modern technology stacks. With extensive experience across various sectors and a wide array of technologies, BBD’s core services encompass digital enablement, software engineering and solutions support, which includes cloud engineering, data science, product design and managed services.

Over the past 40 years, we have built a reputation for hiring the best talent and collaborating with client teams to deliver exceptional value through software. As the company has grown, this unwavering commitment to quality and continuous innovation has ensured clients get the full benefit from software that meets their unique environment.

BBD’s culture is one that encourages collaboration, innovation and inclusion. Our relaxed yet professional work environment extends into a flat management structure. At BBD, you are not just a number, but a valuable member of the team, working with like-minded, passionate individuals on challenging projects in interesting spaces. We deeply believe in the importance of each individual taking control of their career growth, with the support, encouragement and guidance of the company.

We do this for every BBDer, creating the space and opportunity to continue learning, growing and expanding their skillsets. We also proudly support and ensure diverse project teams as varied perspectives will always make for stronger solutions.

With hubs in 7 cities, we have mastered distributed development and support a flexible, hybrid working environment. Our hubs are also a great place to get to know people, share knowledge, and enjoy snacks, great coffee and catered lunches as well as social, sport and cultural gatherings.

Lastly, recognition is deeply ingrained in the BBD culture and we use every appropriate opportunity to show this through our Awards Nominations, shoutouts and of the course the exceptional bonuses that come from exceptional performance.

We are looking for a highly skilled AI Engineer to join our team. In this role, you will be responsible for designing, building, and deploying scalable AI and Machine Learning solutions. You will work at the intersection of Data Engineering, Dev Ops, and Machine Learning to create robust Generative AI solutions and traditional ML pipelines. You will leverage cutting‑edge frameworks and cloud services to solve complex business problems, ensuring our AI systems are reliable, efficient, and secure.

• Design and implement end‑to‑end AI/ML pipelines, from data ingestion to model deployment and monitoring
• Build and optimise Generative AI applications using RAG (Retrieval‑Augmented Generation) architectures and LLM frameworks
• Develop and maintain scalable data processing workflows using modern big data tools
• Implement MLOps best practices for model lifecycle management, versioning and automated deployment
• Collaborate with data scientists and stakeholders to translate business requirements into technical solutions
• Ensure data quality, governance, and security across all AI and data platforms

• A minimum of 5 years professional experience, with at least 2 years’ experience within the AI/ML space, and a year in Generative AI highly desirable

• Programming mastery:
  Expert‑level proficiency in Python, with a strong grasp of Object‑Oriented Programming (OOP) principles, design patterns, and asynchronous programming
• AI & LLM frameworks:
  Experience with modern AI frameworks such as Lang Chain, Langflow, and Auto Gen. Ability to build agents and orchestrate complex LLM workflows
• GenAI architecture:
  Deep understanding of Generative AI patterns, including RAG (Retrieval‑Augmented Generation), Vector Search implementation (e.g., Pinecone, Chroma, Milvus), and advanced Prompt Engineering techniques
• ML engineering & MLOps:
  Practical experience with MLOps tools like MLflow for experiment tracking and model registry, implementation of Feature Stores, and Model Serving infrastructures (e.g., TFServing, Torch Serve, KServe)
• Big Data processing:
  Proficiency in…