Full Stack AI Product Builder

Work on embedded AI assistants, guided workflows, smart UI components, automated journeys, and trading education features. Prototype quickly, integrate APIs and LLM capabilities into real product flows, and help ship production-ready client-facing functionality while meeting safety, auditability, privacy, and compliance expectations.

Responsibilities

  • Build frontend and full-stack prototypes for AI-powered client products.
  • Develop embedded AI assistant experiences for web and mobile platforms.
  • Create smart UI flows, product cards, guided actions, and AI-assisted client journeys.
  • Integrate frontend experiences with backend APIs, internal services, authentication, user context, and product state.
  • Work with LLM providers and AI platforms including OpenAI, Claude, Gemini, Grok, Azure OpenAI, and Microsoft AI Foundry.
  • Build automations for client onboarding, education, support, trading journeys, product discovery, and retention.
  • Prototype quickly, validate ideas, and help turn successful prototypes into production-ready features.
  • Collaborate with backend, DevOps, QA, AI, product, compliance, and mobile teams.
  • Ensure safety, auditability, data privacy, and compliance expectations in a fintech environment.

Requirements

  • Strong frontend development experience with React and TypeScript.
  • Solid REST API integration experience, including authentication flows, user context, and backend services.
  • Understanding of LLMs, AI APIs, structured outputs, tool calling, and AI-assisted workflows.
  • Ability to independently build a working demo, prototype, or MVP-quality feature.
  • Product mindset with understanding of user flows, UX quality, business value, and client impact.
  • Builder mentality with the ability to code, test, iterate, and ship.
  • Good communication with product, engineering, QA, and business stakeholders.
  • Professional written and spoken English.
  • Full-stack experience with Node.js, Python, .NET, or similar.
  • Experience with AI agents, automation flows, RAG, MCP, tool calling, or agentic UI frameworks.
  • Experience with Azure, Microsoft AI Foundry, or enterprise cloud integrations.
  • Background in client-facing SaaS, fintech, trading, banking, or regulated products.
  • Familiarity with mobile authentication, deep links, WebViews, push notifications, and mobile UX patterns.

Benefits

  • Global career growth in an international environment.
  • Training, certifications, continuous learning, and cross-functional projects.
  • Supportive, diverse, and empowering team culture.
  • Competitive salary and performance bonuses.

See also

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