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

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.

Location

London, UK (Remote‑First)

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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