Agentic Engineer — Full Stack ($100k-$150k + Equity) at AI-native truth infrastructure startup

Job Title

Agentic Engineer — Full Stack

Salary

$100,000–$150,000 + Equity

Company Description

AI-native truth infrastructure startup building a platform for adversarial dispute resolution

Location

London, UK (Remote-First)

Job Description

You will build greenfield systems for structured adjudication, creating the world’s first adversarial fact-checking platform. Working across the full stack, you’ll develop ELO rating engines and AI-assisted evidentiary tools. This role combines deep asynchronous work with high-intensity monthly global summits, providing a unique opportunity to define a new category of civilizational scale infrastructure.

Why this role is remarkable

• Work on category-defining truth infrastructure that uses adversarial AI and structured methodology to solve global-scale adjudication challenges.
• Unique hybrid lifestyle: 3 weeks of deep asynchronous work per month followed by a mandatory one-week summit in cities like Nassau, NYC, or London.
• High‑autonomy environment where you own features end-to-end, from architecture to deployment, within a small team of elite engineers.

What You Will Do

• Design and architect real-time adversarial workflows and AI-native systems for structured argumentation and dispute resolution.
• Integrate large language models and agentic programming patterns into the core product to automate evidentiary analysis and adjudication.
• Build and scale robust data pipelines and the infrastructure layer necessary to support a global platform for adversarial fact-checking.

The ideal candidate

• Proficient in full-stack software engineering with a track record of shipping production-grade products in high-velocity, high-ambiguity environments.
• Expert in modern AI tooling and LLM integration, specifically focused on agentic programming and automated workflow design.
• Exceptional written communicator who thrives in asynchronous work environments and possesses a high bias toward rapid building and iteration.

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