Founding Engineer

Posted 9 Hours Ago
Be an Early Applicant
2 Locations
Remote or Hybrid
50K-100K Annually
Entry level
Artificial Intelligence • Marketing Tech • Software
The Role
Build and scale Flywheel’s AI-native content platform as its first technical hire. Responsibilities include backend systems, data pipelines, content-generation workflows, web scrapers, integrations, AI product experiences, and customer-facing interfaces. The role requires end-to-end ownership, production LLM experience or rapid learning ability, strong product judgment, and comfort working directly with founders and users in an in-person London environment.
Summary Generated by Built In

About us:

Flywheel is building the AI-native content engine for the best B2B companies.

Simply put, we work with high calibre founders and execs to turn their expertise into compounding organic content that drives pipeline. We went from zero to $250k ARR in 60 days. This is the first inning.

We believe the future of marketing teams includes a new role: content engineers. People who think in systems, prompts, data, and distribution, not just copy. We are assembling a small group of killers to build the platform that powers them.

Role: Founding Engineer (First Technical Hire)

As a Founding Engineer at Flywheel, you will work directly with the founders to design, build, and scale our AI-native content platform.

You will be responsible for core pieces of the product, from backend systems and data pipelines to the product surfaces that customers touch every day.

You will:

  • own mission-critical parts of the platform, from building content generation pipelines to developing reliable web scrapers, integrations and backend systems that scale with our customers.

  • design and ship AI-native product experiences, creating the workflows and interfaces that turn founder knowledge into reusable components and move ideas from research to draft to distribution.

  • bring your own ideas to life, working directly with users to understand their pain points, proposing solutions and iterating quickly to deliver high-quality product improvements.

What we’re looking for in this role:

  • You are genuinely strong at something. Could be backend, infra, product engineering or something adjacent, but you have a track record of being very good, very fast.

  • You are hungry. You want to build one of the defining products in AI and are comfortable working 6 days a week with people who care as much as you do.

  • You think in systems. You see content, data, and workflows as things to be modelled, automated and improved, not one-off tasks.

  • You finish things. You ship, you close loops, you clean up after yourself. You take pride in code that works in production, not just in a demo.

  • You are direct and collaborative. You communicate clearly, give and receive feedback, and keep ego low in service of the work.

  • You learn fast. New stack, new API, new model, new data source, you figure it out and move.

  • You like being in the room. This is an in-person role in London with a small, tight team.

We are particularly excited by people who:

  • Have built and owned full backend systems end to end. You have experience with databases and architectures similar to ours, including vector search, retrieval pipelines, event driven jobs, background workers and multi-step orchestration.

  • Have worked with LLMs in production (prompting, RAG, evaluation, agents), or are clearly capable of getting up to speed fast.

  • Have strong product taste and can sketch or prototype interfaces, then make them real with React / similar.

  • Have hacked together their own scrapers, automations, or internal tools to get an edge.

  • Have shipped something end to end on their own, even if it was small: a side project, a tool, an app, an internal system that people actually used

"Leap, and the net will appear."

Skills Required

  • Strong expertise in backend, infrastructure, product engineering, or an adjacent technical discipline
  • Track record of building and owning full backend systems end to end
  • Experience with databases, vector search, retrieval pipelines, event-driven jobs, background workers, and multi-step orchestration
  • Production experience with large language models, prompting, retrieval-augmented generation, evaluation, or agents
  • Ability to build or prototype product interfaces with React or a similar technology
  • Experience creating web scrapers, automations, or internal tools
  • Experience shipping an end-to-end side project, tool, application, or internal system used by others
  • Strong systems thinking and ability to model, automate, and improve workflows
  • Ability to work six days per week
  • Ability to work in person in London
  • Clear communication, collaboration, fast learning, and production-focused execution
Am I A Good Fit?
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The Company
5 Employees

What We Do

The Dover-listed employer appears as FlywheelXX and links to Constellar.ai. The profile describes helping SMEs implement AI, while the linked site offers end-to-end AI consulting and web-based solutions that identify inefficiencies and improve ROI through automation. Its Founding Engineer listing says Flywheel is building an AI-native content platform that turns B2B founders’ and executives’ expertise into compounding organic content to drive pipeline.

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