Job Opportunities API

AI Engineering Director   Permanent | Hybrid (Amsterdam) |  Riverflex is building a frontier AI engineering practice — the kind our clients wish existed as they navigate complex intelligent transformation programmes. You lead it. You own developing the architecture, the team, our products & accelerators, and the trajectory of AI engineering at Riverflex. This is not a management-only role: you architect and code alongside your team, ship systems to production for blue-chip clients, and develop the reusable accelerators that make our delivery best-in-class.  This role reports directly to the founders and carries a clear path to Director — Riverflex's most senior level — with a profit-share compensation model that rewards practice ownership. You co-create new service offerings as the AI market evolves, sit in the room with C-level clients, and partner with the founding team on commercial growth. The path is yours to build. About Riverflex   Riverflex was founded in Amsterdam and London in 2018, eventually growing into a global team of consultants united by a mission to help courageous leaders drive transformative change. Today, we offer an integrated service through three service pillars: strategy and transformation consulting that Creates Change, talent services that Build Teams, and business-accelerating products that Augment Intelligence. For more information, visit www.riverflex.com .  Responsibilities   Technical Leadership & Delivery   Architect and ship AI systems for complex client engagements — meaningful production work, not pilots that die in PowerPoint  Own system design decisions across LLM-based applications, agentic architectures, RAG pipelines, evaluation frameworks, and model routing  Serve as senior technical lead on client engagements  Drive technical quality, code review, and engineering standards across the AI practice  Offering Development   and Products & Accelerators Design and ship at least one core reusable Riverflex AI accelerator (e.g. agentic harness, eval framework, RAG pipeline template) within the first year  Co-develop new client service offerings in partnership with the strategy team as the AI landscape evolves  Allocate time to R&D, internal IP, and new offering development  Team Build & Scaling   Scale the AI engineering team within 12 months — hire, calibrate, and retain  Set the bar for engineering talent: own hiring loops, technical assessments, and onboarding  Develop engineers through coaching, pairing, and structured growth paths  Commercial & Client Engagement   Partner with founders in C-level client conversations — co-piloting in year one, with growing autonomy by month 12  Scope complex AI engagements, translating client problems into deliverable technical architectures  Contribute to practice growth through commercial credibility and client trust  Job Requirements   10+ years of engineering experience, with meaningful time leading technical teams (4–5+ years in technical leadership)  Deep capability in modern AI systems: LLMs, agentic architectures, RAG, evaluation, model routing  Proven ability to architect and ship production systems — not just prototype or advise  Hands-on with hiring, calibration, and developing engineers  Comfortable with ambiguity, allergic to bureaucracy  English fluent  The following are a plus:   Production GenAI track record (we are equally open to candidates who will build this track record at Riverflex)  Ex-startup CTO (Series A–C, AI-first product company), senior staff/principal engineer at a scale-up (e.g. Booking, Adyen, Picnic, Mollie), or frontier-lab IC (e.g. Anthropic, OpenAI, DeepMind, Mistral, Cohere) ready to commercialise  Dutch language skills  Experience with consulting delivery or client-facing technical advisory  What We Offer