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Confidential company

Job listing

London, United KingdomNot Disclosed

Staff AI Engineer at VC-backed AI fintech platform

Are you a Staff Applied AI Engineer ready to architect the future of financial services? Join a well-funded AI fintech platform to build the operating system for financial advisors, democratizing financial advice for billions. This is a unique opportunity to define the gold standard for AI trust and reliability in a high-stakes, regulated environment, leading the charge on complex agentic workflows and robust evaluation systems.

Overview

Role overview

Lead the architectural scaling of a cutting-edge AI platform, transforming it into a high-reliability operational system for complex financial workflows. This Staff role involves defining strategic technical direction for core orchestration, evaluation, and data governance layers, acting as a technical force multiplier to build the gold standard for AI trust and reliability in a regulated environment.

Company

About the company

VC-backed AI fintech platform

Responsibilities

What you will do

  • Define and scale the core AI platform architecture, ensuring it supports rapid development of complex agentic workflows.
  • Drive organizational quality and trust standards by owning the comprehensive evaluation framework and data governance.
  • Provide technical leverage and leadership, unblocking ambiguous problems and mentoring other engineers.

Candidate profile

Who this is a fit for

  • 8+ years in ML/software engineering, with 3+ years architecting and operating scaled production AI/ML systems.
  • Proven track record in B2B SaaS backend architecture, especially with complex multi-user workflow orchestration.
  • Deep expertise in distributed systems, high-volume Python backends, and designing for auditability in regulated environments.

What makes it remarkable

Why this role is remarkable

  • Rare chance to build a category-defining company in a high-stakes, regulated financial environment.
  • Well-funded and backed by top-tier VCs, operating with a dual mandate of speed and continuous learning.
  • Opportunity for end-to-end ownership, defining the gold standard for AI trust and reliability from the ground up.

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