AI Product Design Engineer

Engine AI is the Intelligence Engine for Capital Markets. We turn fragmented data into accurate, explainable intelligence that helps Capital Markets teams make faster, better-informed decisions. Our solutions combine a domain-trained data graph, precision analytics, and persona-specific AI workflows, trusted by leading Capital Markets firms including S&P Global, KX, RavenPack, National Bank of Canada, PwC, FXCM, JP Morgan, and Interactive Investors.

The Role

We are hiring an AI Product Design Engineer to own the experience layer of that intelligence — the dashboards, copilots, and agent interfaces that Capital Markets professionals actually use every day.

This role is for designers who've always wanted to close the gap between what they design and what ships. You'll own the craft end-to-end: interaction design, visual systems, and the code that brings them to life. Design judgment comes first. React and TypeScript are how your ideas get built — not a skill you lean on others for.

You'll work on things like:

  • Design Systems + Data Visualisation
  • AI agents that answer complex data questions
  • Chat + Dashboard hybrid interfaces
  • Systems that generate dashboards, queries, and insights

What You'll Do

Design AI-Native Experiences

  • Own features end-to-end from ambiguous problem to shipped product.
  • Design for non-determinism: ambiguity, partial answers, and failure states.
  • Turn complex data + AI capabilities into clear, usable workflows.
  • Work directly with engineers to shape system behaviour, not just UI.

Conversational & Agent Interfaces

  • Design multi-turn interactions across chat and agent workflows.
  • Define states, transitions, recovery paths, and escalation points.
  • Decide when AI should act, ask, or step back.
  • Translate UX intent into prompt strategies and system behaviour.

Generative + Data UX

  • Design around generated outputs: queries, dashboards, insights.
  • Build human-in-the-loop flows: edit, refine, compare, approve.
  • Prototype directly with LLM APIs to validate ideas early.

Design Systems in Codex

  • Build and evolve our design system in React + TypeScript.
  • Create reusable components that are actually used in production.
  • Keep design and code aligned by owning both sides.
  • Contribute directly to the frontend codebase.

What You Bring

  • Strong product and visual design judgment is non-negotiable. You have the portfolio to prove it — real products, shipped end-to-end.
  • You think in systems and flows, not isolated screens.
  • You design with accessibility as a first principle.
  • You've designed AI-powered features and understand their real-world behaviour: inconsistency, edge cases, failure modes — and you've solved for them in the UI.
  • You've built a design system used in production.
  • You've designed and implemented experiences yourself (React + TypeScript)

Strong Signal

  • Experience designing conversational or agent-based systems.
  • Hands-on work with LLMs (prompting, iteration, tradeoffs).
  • Familiarity with design system tooling (Storybook, tokens, etc.).
  • You've designed and built reusable systems used by others (component libraries, internal platforms, or open source).
  • You have experience with Claude Code or other AI coding tools.
  • You've built products or tooling for capital markets or financial services.

How We Work

  • Small teams, high ownership — outcomes over artefacts.
  • From ambiguity to product — shaping the problem is part of the job.
  • Strong collaboration between design, engineering, and product.
  • Fast iteration — we optimise for shipped product and real usage.
  • Systems over demos — what we build has to hold in reality.
  • Continuous shipping, learning, and improvement.

Final Note

We're not adding AI features to an existing product. We're building an AI-native interface for data.

Agents, chat, and generated dashboards need to work as one coherent system, not separate tools.

A lot of this is still undefined. The expectation is that you turn that into something real.

Apply directly or email jobs@engineai.com.

We encourage a diverse workforce and welcome applications from all communities.

Job Details

Company
Engine AI
Location
London Area, United Kingdom
Posted