> Markdown version of [/jobs/ext/4677860-forward-deployed-ai-engineer-multi-agent-systems-martech-remote-eu](https://www.wearedevelopers.com/jobs/ext/4677860-forward-deployed-ai-engineer-multi-agent-systems-martech-remote-eu). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed AI Engineer - Multi-Agent Systems & Martech (Remote EU) - **Company:** MaxIT Consulting - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software as a Service, Large Language Models, Multi-Agent Systems, Backend - **Published:** November 12, 2026 - **Apply:** https://www.jobleads.com/es/job/forward-deployed-ai-engineer-multi-agent-systems-martech-remote-eu--madrid--ed1ee8532766e04a20d155c42e2ebdd36 ## About the Role * Deep, hands-on engineering: LLM and multi-agent systems built and running in production, not only prototypes. * Marketing domain literacy: CRM and DAM, how they connect to the digital marketing ecosystem, and how ads are bought on Google and Meta. Any industry. * Senior and autonomous: comfortable with C-suite and C-suite-minus-one stakeholders, able to own the scope and then build it. * Founder mentality and ownership of outcomes. Nice to Have * Experience at a digital agency or a martech SaaS company. * Previous founder or early-stage experience. Not a fit for entry-level profiles, pure platform/infrastructure profiles, or client-facing roles that no longer build hands-on. ## Description Remote | UK or Europe | US working hours | Full-time MaxIT Consulting is looking for a Brand Engineer (Forward Deployed) for an AI-native brand engineering company that works directly with the marketing leadership of large US enterprises and rebuilds their marketing operations as multi-agent systems the client owns. The Opportunity This is a forward-deployed engineering role: you sit with marketing teams to map how the work is actually done, translate marketing objectives into requirements and architecture, and then build and evaluate the agentic system hands-on, watching for quality, brand drift and the wrong optimisation target. Key Responsibilities * Lead discovery with senior marketing stakeholders and own the scope of each engagement. * Design, build and deploy LLM and multi-agent workflows in production (orchestration, backend, evaluation). * Connect agentic systems with the marketing stack: CRM, DAM, CDP and paid media. * Evaluate and iterate on system quality with measurable outcomes. Required Qualifications * Deep, hands-on engineering: LLM and multi-agent systems built and running in production, not only prototypes. * Marketing domain literacy: CRM and DAM, how they connect to the digital marketing ecosystem, and how ads are bought on Google and Meta. Any industry. * Senior and autonomous: comfortable with C-suite and C-suite-minus-one stakeholders, able to own the scope and then build it. * Founder mentality and ownership of outcomes. Nice to Have * Experience at a digital agency or a martech SaaS company. * Previous founder or early-stage experience. Not a fit for entry-level profiles, pure platform/infrastructure profiles, or client-facing roles that no longer build hands-on. Work Arrangement Fully remote from the UK or elsewhere in Europe, with the right to work there. US working hours (New York and West Coast clients) are the baseline.