ironquill.tech/board

$ cat jobs/ai-engineer-faktionbv1-e2fe2d4fc6a4.json

AI Engineer

Faktionbv1·Worldwide·Antwerp, Vlaams Gewest, Belgium·mid
pythonfastapidockermlllmcomputer vision
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As 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. Some key responsibilities: Designing and implementing end-to-end AI solutions spanning GenAI, classical ML, computer vision, and agentic systems, tailored to the specific needs of enterprise customers. Translating ambiguous customer problems into concrete technical architectures, engaging directly with clients to define requirements and align on objectives. Developing and deploying production-ready AI backends using tools like Python, FastAPI, and Docker, with a strong focus on reliability and scalability. Building and maintaining evaluation pipelines, including LLM-as-a-Judge agents, to ensure continuous quality assurance from development through to production. Developing and maintaining MLOps pipelines, including data preprocessing, feature extraction, model training, and monitoring. Conducting 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. Collaborating with cross-functional teams to ensure AI solutions align with broader business goals and customer expectations. Developing clear and concise documentation, including technical specifications and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Providing technical mentorship and guidance to junior team members.

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