As the Founding Platform Engineer, you will build the shared infrastructure layer that makes production-grade AI agent deployments safe and scalable. You'll own integrations, observability, and deployment workflows for multi-agent systems, moving from bespoke implementations to a repeatable platform used by major enterprise brands across the US and Europe.
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Founding Platform Engineer at Defyner
Marketing is being rebuilt by AI, and this is your chance to architect the infrastructure behind it. As the Founding Platform Engineer at an angel-backed AI-native consultancy, you will build the core operating system for production-grade multi-agent deployments within enterprise stacks. You will move the needle from bespoke agentic experiments to repeatable, governed software systems for global brands. With a significant AWS partnership on the horizon and 0→1 ownership of the platform layer, this role is perfect for a Python expert who thrives at the intersection of agentic reliability and enterprise-scale systems thinking.
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Location
United States) / Remote
Compensation
£90k-£140k + Equity
Company
Defyner
Role overview
Software1-10 employees
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
- Design and build an integrations framework (MCP/tooling) to connect agents to enterprise systems with audit trails.
- Implement robust evaluation pipelines and regression tests to check agent outputs against brand governance and success metrics.
- Create a reusable deployment pattern that allows agent workflows to be shipped securely inside client-controlled infrastructure.
Who this is a fit for
- Deep experience with Python and production multi-agent systems using stacks like LangChain, LangGraph, and LangSmith.
- Proven track record in platform engineering, including building tool interfaces, observability, and IAM security patterns.
- Strong systems thinker comfortable with enterprise security requirements, data residency, and deploying into constrained client environments.
Why this role is remarkable
- Significant technical ownership of a 0→1 platform layer that directly impacts major enterprise brands like Zillow and Amundi.
- Strategic AWS partnership opportunity to build agentic integrations for Amazon Ads, representing a high-upside technical bet.
- Influence the engineering culture and standards of an AI-native consultancy rebuilding marketing production at software speed.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Defyner wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.