Empresa:

Engine AI

Descrição da Função

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 Designer 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 translate user needs and business goals into intuitive, impactful AI-driven products. You'll own the craft end-to-end: research, interaction design, visual systems, and prototypes that brings it to life.

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 interaction patterns, system behaviour, and prompt strategies.

Generative + Data UX

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

Design Systems & Collaboration

• Contribute to and evolve our design system to support AI-native patterns.
• Create reusable components that are actually used in production.
• Work directly with engineers to keep design and code aligned.
  

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 contributed to a design system used in production.
  

Strong Signal

• Experience designing conversational or agent-based systems.
• Understanding of LLMs and AI capabilities (prompting, iteration, tradeoffs).
• Experience defining AI behaviour and interaction patterns, not just interfaces.
• Familiarity with design system tooling (Storybook, tokens, etc.).
• Familiarity with prototyping AI-driven experiences.
• Ability to collaborate deeply with engineering and product teams.

Nice to Have

• You've designed and implemented experiences yourself (React + TypeScript)
• You've designed and built reusable systems used by others (component libraries, internal platforms, or open source).
• You have experience with Claude Code and 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 will only accept applications that include portfolio.

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 .

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

Observações

Lisboa (Portugal)