AI Engineer
Il y a 5 heures
Antwerp, Flanders, Belgique
Faktion | AI Solutions & Advisory
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pAs an AI Engineer at Faktion, you'll work on a wide variety of projects across industries like manufacturing, finance, and operations. You don't just build prototypes. You do deep engineering, ship to production, and make sure what you build actually gets adopted and used. We are hiring a highly motivated AI Engineer to join our growing engineering team. You will work closely with software engineers, and product managers to design, build, and deploy AI-powered solutions that drive measurable impact for our customers. /p h3Some
key responsibilities
/h3 ul liDesigning and implementing end-to-end AI solutions spanning GenAI, classical ML, computer vision, and agentic systems, tailored to the specific needs of enterprise customers. /li liTranslating ambiguous customer problems into concrete technical architectures, engaging directly with clients to define requirements and align on objectives. /li liDeveloping and deploying production-ready AI backends using tools like Python, FastAPI, and Docker, with a strong focus on reliability and scalability. /li liBuilding and maintaining evaluation pipelines, including LLM-as-a-Judge agents, to ensure continuous quality assurance from development through to production. /li liDeveloping and maintaining MLOps pipelines, including data preprocessing, feature extraction, model training, and monitoring. /li liConducting research to stay current with the latest advancements in generative AI, machine learning, computer vision, and deep learning, and identifying opportunities to apply them for our customers. /li liCollaborating with cross-functional teams to ensure AI solutions align with broader business goals and customer expectations. /li liDeveloping clear and concise documentation, including technical specifications and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. /li liProviding technical mentorship and guidance to junior team members. /li /ul h3Job requirements /h3 ul liYou have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master's or PhD is a strong plus. /li liYou have solid hands-on experience building and deploying AI systems, whether GenAI, classical ML, computer vision, or a combination. /li liYou are proficient in Python and have experience with relevant frameworks such as PyTorch, TensorFlow, OpenCV, LangChain, or LangFuse. /li liYou are comfortable working across the AI stack, from prompt engineering and RAG architecture to model training, evaluation pipelines, and cloud deployment. /li liYou are familiar with cloud-based platforms and services, such as Azure. /li liYou have experience with containerisation tools such as Docker and API development frameworks such as FastAPI. /li liYou possess strong problem-solving skills and can think critically and creatively to develop innovative AI solutions. /li liYou have strong communication skills and can effectively convey complex technical concepts to a diverse audience. /li liYou possess a proactive mindset and can work independently and collaboratively in a fast-paced, dynamic environment. /li liExcellent written and verbal communication skills in native Dutch and English (French is a plus). /li /ul h3Following experiences are a plus: /h3 ul liShowing your passion through GitHub repos, open-source contributions, or prior engagements in Kaggle competitions. /li liExperience with computer vision techniques such as synthetic data generation, object detection, or image segmentation. /li liExperience with MLOps tooling, including CI/CD pipelines, Azure DevOps, GitHub Actions, or infrastructure-as-code tools like Terraform. /li liExposure to agentic frameworks and multi-agent system design. /li liPublications in relevant AI/ML conferences and journals. /li liExperience in one of our focus domains: Data Quality, Retail, Manufacturing, Finance. /li /ul h3We offer: /h3 ul liA rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget, comprehensive hospitalisation, group insurance, and a top-tier laptop and smartphone. /li liBenefit from a company culture that stimulates both individual and team development, fostering professional growth. /li liUtilise your innovation budget for engaging in exciting, educational, and challenging open-source projects within your guild. /li liParticipate in team-building activities and gatherings, a great opportunity to unwind and engage with our vibrant team initiatives. /li liA flexible hybrid working policy to choose where, how, and when you want to work. /li /ul pAt Faktion we build AI, and we use it thoughtfully in our own processes too. During your application, AI tools may help us with practical steps, like checking that your documents came through complete. They never decide who moves forward: every application is read by a real person on our team, and every decision is made by a human. Curious how this works, or how your data i
key responsibilities
/h3 ul liDesigning and implementing end-to-end AI solutions spanning GenAI, classical ML, computer vision, and agentic systems, tailored to the specific needs of enterprise customers. /li liTranslating ambiguous customer problems into concrete technical architectures, engaging directly with clients to define requirements and align on objectives. /li liDeveloping and deploying production-ready AI backends using tools like Python, FastAPI, and Docker, with a strong focus on reliability and scalability. /li liBuilding and maintaining evaluation pipelines, including LLM-as-a-Judge agents, to ensure continuous quality assurance from development through to production. /li liDeveloping and maintaining MLOps pipelines, including data preprocessing, feature extraction, model training, and monitoring. /li liConducting research to stay current with the latest advancements in generative AI, machine learning, computer vision, and deep learning, and identifying opportunities to apply them for our customers. /li liCollaborating with cross-functional teams to ensure AI solutions align with broader business goals and customer expectations. /li liDeveloping clear and concise documentation, including technical specifications and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. /li liProviding technical mentorship and guidance to junior team members. /li /ul h3Job requirements /h3 ul liYou have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master's or PhD is a strong plus. /li liYou have solid hands-on experience building and deploying AI systems, whether GenAI, classical ML, computer vision, or a combination. /li liYou are proficient in Python and have experience with relevant frameworks such as PyTorch, TensorFlow, OpenCV, LangChain, or LangFuse. /li liYou are comfortable working across the AI stack, from prompt engineering and RAG architecture to model training, evaluation pipelines, and cloud deployment. /li liYou are familiar with cloud-based platforms and services, such as Azure. /li liYou have experience with containerisation tools such as Docker and API development frameworks such as FastAPI. /li liYou possess strong problem-solving skills and can think critically and creatively to develop innovative AI solutions. /li liYou have strong communication skills and can effectively convey complex technical concepts to a diverse audience. /li liYou possess a proactive mindset and can work independently and collaboratively in a fast-paced, dynamic environment. /li liExcellent written and verbal communication skills in native Dutch and English (French is a plus). /li /ul h3Following experiences are a plus: /h3 ul liShowing your passion through GitHub repos, open-source contributions, or prior engagements in Kaggle competitions. /li liExperience with computer vision techniques such as synthetic data generation, object detection, or image segmentation. /li liExperience with MLOps tooling, including CI/CD pipelines, Azure DevOps, GitHub Actions, or infrastructure-as-code tools like Terraform. /li liExposure to agentic frameworks and multi-agent system design. /li liPublications in relevant AI/ML conferences and journals. /li liExperience in one of our focus domains: Data Quality, Retail, Manufacturing, Finance. /li /ul h3We offer: /h3 ul liA rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget, comprehensive hospitalisation, group insurance, and a top-tier laptop and smartphone. /li liBenefit from a company culture that stimulates both individual and team development, fostering professional growth. /li liUtilise your innovation budget for engaging in exciting, educational, and challenging open-source projects within your guild. /li liParticipate in team-building activities and gatherings, a great opportunity to unwind and engage with our vibrant team initiatives. /li liA flexible hybrid working policy to choose where, how, and when you want to work. /li /ul pAt Faktion we build AI, and we use it thoughtfully in our own processes too. During your application, AI tools may help us with practical steps, like checking that your documents came through complete. They never decide who moves forward: every application is read by a real person on our team, and every decision is made by a human. Curious how this works, or how your data i