Brand Engineer Equity) at Defyner
Listed on 2026-08-24
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Software Development
AI Engineer (Applied/Software)
Location: Greater London
Job Title
Brand Engineer (AI Delivery / Solutions Engineer)
Salary£90k–£130k + Equity
Company DescriptionDefyner 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.
Job DescriptionOwn 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.
LocationLondon, UK / Remote
Why this role is remarkable- Work at the intersection of AI and branding, building 0→1 systems that solve critical production and governance challenges for world-class enterprise brands.
- Join a high-growth founding team backed by a $1M angel round and led by founders with deep strategy expertise from Amazon and WPP.
- Scale your impact by developing the core 'Brand Code' methodology, turning one-off AI deployments into a repeatable, observable platform layer.
- Design and ship brand-safe multi-agent workflows that automate complex marketing tasks while enforcing creative constraints and compliance rules.
- Build comprehensive evaluation suites and scorecards that monitor agent performance to catch brand drift, hallucinations, and tonal mismatches in real-time.
- Collaborate directly with client stakeholders to translate high-level brand positioning and voice guidelines into structured, machine-readable constraints and logic.
- Proven experience building, debugging, and deploying production-grade multi-agent systems and tool-using agentic applications.
- Strong technical fluency combined with a genuine instinct for brand identity and the ability to translate creative judgment into machine guidance.
- 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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