Jobs at Faktion BV

Design, implement, and optimize generative AI models and integrations (GPT, LLaMA, LangChain). Build MLOps pipelines, containerized back-ends (Docker, FastAPI), and cloud deployments (Azure). Collaborate with cross-functional teams, document solutions, mentor colleagues, and keep up with generative AI research to drive customer-facing AI solutions.

Serve as client-facing AI consultant: discover opportunities, translate needs into technical goals, build business cases, oversee end-to-end AI projects, coordinate sales/engineering/delivery, ensure ethical/security standards, and support knowledge sharing and client relationships.

Lead design, development, deployment, and technical roadmap for scalable, production-grade full-stack applications. Collaborate with AI/ML teams and stakeholders, mentor engineers, enforce code quality, implement CI/CD, testing, containerization, and cloud deployments (Azure/AWS), and drive architecture, monitoring, and performance optimization.

Design, prototype, and productionize applied AI systems (RAG, copilots, agentic workflows, fine-tuned models). Build reproducible evaluation and experimentation pipelines, containerized back-ends, and collaborate with engineers and customers to improve model quality, latency, and cost-efficiency. Document and share findings, mentor peers, and translate research into customer-facing solutions.

Lead and manage end-to-end AI projects: gather and translate client requirements, create backlogs and plans, coordinate resources and timelines, ensure delivery quality, coach and co-lead data science teams, safeguard technical/ethical/legal requirements, and present solutions and ROI to stakeholders.

Lead business development for Faktion's AI Product Studio: define and execute BD strategy, build and mentor a high-performance sales team, drive outbound/ABM lead generation, close enterprise AI deals, align sales with delivery and exec leadership, craft value propositions and thought leadership, and oversee project delivery to ensure client success.

Lead the design, implementation, and scaling of generative and agentic AI systems (RAG, LLM fine-tuning, embeddings). Oversee MLOps pipelines, containerised back-end services (Docker, FastAPI), mentor engineers, drive Evaluation-Driven Development, integrate third-party solutions, and collaborate cross-functionally to deploy robust, production-grade NLP and GenAI products.

Develop and maintain robust, secure, and scalable web applications using TypeScript, React, and Node.js. Collaborate with ML experts and stakeholders across the SDLC, implement GraphQL APIs, work with relational databases, automate tasks, test and debug code, document systems, and participate in deployment and maintenance. Communicate fluently in Dutch and English.

Lead end-to-end talent acquisition, onboarding, and culture efforts for an AI engineering firm. Build recruitment pipelines, define hiring scorecards, improve selection and candidate experience, design onboarding and growth paths, run culture and knowledge-sharing initiatives, and partner with marketing on employer branding.

Design, build, and operate scalable ML pipelines and cloud infrastructure; productionize data scientists' models; deploy training and inference services; implement CI/CD, monitoring, security, versioning, and IaC; investigate performance and infrastructure issues; advise on tools and best practices.

Lead ML projects as a technical lead: design and implement production-ready ML pipelines and models, mentor junior engineers, translate customer needs into technical solutions, evaluate and integrate ML research, run client workshops, and support pre-sales activities.

Act as strategic advisor and relationship owner for enterprise accounts, guiding AI transformation from proof-of-concept to production. Drive account growth and expansion, align stakeholders, translate technical outcomes to business value, lead strategic planning and reviews, and partner with product, AI, engineering, and UX teams to ensure delivery and ROI.

Design, build, and deploy production-ready AI solutions (GenAI, classical ML, computer vision, agentic systems). Translate customer needs into architectures, develop MLOps and evaluation pipelines, deploy scalable backends (Python, FastAPI, Docker), collaborate cross-functionally, and mentor junior engineers.