\nOwn the end-to-end delivery of multi-agent workflows for enterprise clients, turning creative strategy into production-grade systems. You will architect brand-safe AI operations, design evaluation harnesses to catch hallucinations or tonal drift, and build 'Brand Code'—the machine-readable foundation layer that ensures AI outputs remain consistent with a company’s unique voice and identity.\n\nLocation:\nLondon, UK / Remote\n\nWhy this role is remarkable:\n- Work at the intersection of AI and branding, building 0→1 systems that solve critical production and governance challenges for world-class enterprise brands.\n- Join a high-growth founding team backed by a $1M angel round and led by founders with deep strategy expertise from Amazon and WPP.\n- Scale your impact by developing the core 'Brand Code' methodology, turning one-off AI deployments into a repeatable, observable platform layer.\n\nWhat you will do:\n- Design and ship brand-safe multi-agent workflows that automate complex marketing tasks while enforcing creative constraints and compliance rules.\n- Build comprehensive evaluation suites and scorecards that monitor agent performance to catch brand drift, hallucinations, and tonal mismatches in real-time.\n- Collaborate directly with client stakeholders to translate high-level brand positioning and voice guidelines into structured, machine-readable constraints and logic.\n\nThe ideal candidate:\n- Proven experience building, debugging, and deploying production-grade multi-agent systems and tool-using agentic applications.\n- Strong technical fluency combined with a genuine instinct for brand identity and the ability to translate creative judgment into machine guidance.\n- Comfortable operating in a high-ownership 0→1 environment, taking responsibility for client relationships and building the technical delivery playbook from scratch.
Brand Engineer at Defyner
Marketing is being rebuilt, and Defyner is leading the charge by turning brand logic into machine-usable execution. We’re looking for a Brand Engineer to join our founding team and own the delivery of production-grade AI workflows for enterprise giants across the US and UK. If you have hands-on experience with multi-agent systems and a passion for creative excellence, this is your chance to build systems that scale brand speed without risk.
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Location
\nLondon, United Kingdom / Remote
Compensation
\n£90k-£130k + Equity\n\n**Company Description:**\nDefyner is a $1m angel-backed brand engineering company building production-grade AI agents for enterprise marketing giants. Founded in January 2026 by industry veterans from Amazon and WPP, Defyner translates creative strategy into machine-usable guidance, allowing global brands to deploy multi-agent workflows that run securely inside their own infrastructure.\n\n**Job Description:**\nOwn the end-to-end delivery of multi-agent workflows for enterprise clients, turning creative strategy into production-grade systems. You will architect brand-safe AI operations, design evaluation harnesses to catch hallucinations or tonal drift, and build 'Brand Code'-the machine-readable foundation layer that ensures AI outputs remain consistent with a company’s unique voice and identity.\n\n**Location:**\nLondon, UK / Remote\n\n**Why this role is remarkable:**\n-Work at the intersection of AI and branding, building 0→1 systems that solve critical production and governance challenges for world-class enterprise brands.\n-Join a high-growth founding team backed by a $1m angel round and led by founders with deep strategy expertise from Amazon and WPP.\n-Scale your impact by developing the core 'Brand Code' methodology, turning one-off AI deployments into a repeatable, observable platform layer.\n\n**What you will do:**\n-Design and ship brand-safe multi-agent workflows that automate complex marketing tasks while enforcing creative constraints and compliance rules.\n-Build comprehensive evaluation suites and scorecards that monitor agent performance to catch brand drift, hallucinations, and tonal mismatches in real-time.\n-Collaborate directly with client stakeholders to translate high-level brand positioning and voice guidelines into structured, machine-readable constraints and logic.\n\n**The ideal candidate:**\n-Proven experience building, debugging, and deploying production-grade multi-agent systems and tool-using agentic applications.\n-Strong technical fluency combined with a genuine instinct for brand identity and the ability to translate creative judgment into machine guidance.\n-Comfortable operating in a high-ownership 0→1 environment, taking responsibility for client relationships and building the technical delivery playbook from scratch.
Company
Defyner
Role overview
Defyner is an AI-native marketing company that builds production-grade AI agents directly inside a brand's infrastructure. Unlike traditional agencies, Defyner transfers capability rather than creating dependency — delivering intelligent, automated marketing systems that brands own, operate, and scale themselves. Underpinned by a shared platform layer for integrations, governance, monitoring, and updates, Defyner helps enterprise marketing teams move faster, work smarter, and compound value across their entire brand ecosystem.
What you will do
\n- Design and ship brand-safe multi-agent workflows that automate complex marketing tasks while enforcing creative constraints and compliance rules.\n- Build comprehensive evaluation suites and scorecards that monitor agent performance to catch brand drift, hallucinations, and tonal mismatches in real-time.\n- Collaborate directly with client stakeholders to translate high-level brand positioning and voice guidelines into structured, machine-readable constraints and logic.\n\nThe ideal candidate:\n- Proven experience building, debugging, and deploying production-grade multi-agent systems and tool-using agentic applications.\n- Strong technical fluency combined with a genuine instinct for brand identity and the ability to translate creative judgment into machine guidance.\n- Comfortable operating in a high-ownership 0→1 environment, taking responsibility for client relationships and building the technical delivery playbook from scratch.
Who this is a fit for
\n- Proven experience building, debugging, and deploying production-grade multi-agent systems and tool-using agentic applications.\n- Strong technical fluency combined with a genuine instinct for brand identity and the ability to translate creative judgment into machine guidance.\n- Comfortable operating in a high-ownership 0→1 environment, taking responsibility for client relationships and building the technical delivery playbook from scratch.
Why this role is remarkable
\n- Work at the intersection of AI and branding, building 0→1 systems that solve critical production and governance challenges for world-class enterprise brands.\n- Join a high-growth founding team backed by a $1M angel round and led by founders with deep strategy expertise from Amazon and WPP.\n- Scale your impact by developing the core 'Brand Code' methodology, turning one-off AI deployments into a repeatable, observable platform layer.\n\nWhat you will do:\n- Design and ship brand-safe multi-agent workflows that automate complex marketing tasks while enforcing creative constraints and compliance rules.\n- Build comprehensive evaluation suites and scorecards that monitor agent performance to catch brand drift, hallucinations, and tonal mismatches in real-time.\n- Collaborate directly with client stakeholders to translate high-level brand positioning and voice guidelines into structured, machine-readable constraints and logic.\n\nThe ideal candidate:\n- Proven experience building, debugging, and deploying production-grade multi-agent systems and tool-using agentic applications.\n- Strong technical fluency combined with a genuine instinct for brand identity and the ability to translate creative judgment into machine guidance.\n- Comfortable operating in a high-ownership 0→1 environment, taking responsibility for client relationships and building the technical delivery playbook from scratch.
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