Senior Front-End Engineer

Nasze wymagania: 5+ years of professional frontend engineering experience shipping production web applications. Deep proficiency in React (or equivalent modern framework) with TypeScript. Strong experience consuming REST, GraphQL, and WebSocket APIs in complex, data-intensive UIs. Hands-on experience integrating third-party charting libraries (TradingView, D3, Recharts or similar). Working knowledge of search integration patterns (full-text search, embeddings, ranking/relevance tuning). Familiarity with AI/ML API integration (classification endpoints, embedding APIs, LLM-powered features). Experience with event-driven or event-sourced architectures and real-time data rendering. Mile widziane: Experience in fintech, financial media, or social/content platforms. Familiarity with reputation systems, credibility scoring, or trust & safety tooling. Knowledge of PostgreSQL, CDC patterns, and projection-based read models. Experience with deterministic systems, replay frameworks, or audit-grade logging. Understanding of token economics, double-entry ledger systems, or blockchain-adjacent reward models. O projekcie: You'll build the future of financial intelligence, bridging sophisticated backend logic with user-facing experiences. The Senior Frontend Engineer sits at the intersection of frontend implementation, product logic, and data integration. This role focuses on translating designed product surfaces into working, production-grade systems. You will own the bridge between a sophisticated deterministic backend and the user-facing experiences that bring financial intelligence to life. Zakres obowiązków: • Implement the core surfaces (Feed, Front Page, Symbol Intelligence, Charts). • Wire them to backend APIs. • Integrate the RS-driven ranking and search logic into the UI. • Handle AI-assisted moderation and classification integrations so that those outputs become real-time signals the backend can consume. Frontend Implementation: • Build and maintain the designed UI components and pages for the User Feed (Universal Discovery Layer), Front Page news portal, Sector Hubs, and Symbol Intelligence pages. • Implement the Creator Studio workspace, Profile & Reputation pages, and User Dashboard. • Integrate the TradingView-style charting widget on Symbol Pages, connecting it to the backend Datafeed Adapter (UDF-compatible endpoints: /tv/symbols, /tv/search, /tv/history, /tv/quotes). • Ensure responsive, performant rendering for real-time content streams and live market data. Backend API Integration: • Wire frontend surfaces to the REST, GraphQL, and WebSocket APIs that power the platform. • Consume Allocation Domain projections (frontpage_rankings, sector rankings, symbol-level content rails) and render them in the appropriate surfaces. • Integrate real-time data flows: RS-weighted sentiment endpoints, engagement events, and visibility tier transitions. • Work with the Symbol Intelligence API layer (GET /symbols/search, /symbols/{symbol}/summary, /symbols/{symbol}/fp-content, /symbols/{symbol}/sentiment). Ranking, Search & RS-Driven Behaviours: • Expose RS-driven behaviours in the UI: visibility tiers, audition bucket progression, exploration slots, and tier graduation indicators. • Implement search functionality that combines symbol search, sector search, and creator discovery. • Surface the Feed Audition Engine logic — showing users how deterministic PRNG-based exploration, format-neutral ranking, and RS weighting shape their experience. • Display Front Page, Sector, and Symbol ranking outputs with transparency into the scoring parameters. AI & Moderation Integration: • Integrate AI-assisted moderation pipelines into the frontend: classification APIs, LLM-assisted review outputs, and severity scoring displays. • Handle embeddings-based search and content similarity signals, exposing these as consumable inputs for the backend Trust Domain. • Build the RS-weighted Governance & Moderation Panels where high-RS users audit content from the social proving ground. • Implement safety-linked UI behaviours (e.g., suppression states, boost kill-switch indicators, fraud flags). Cross-Domain Collaboration: • Collaborate closely with backend engineers on the Trust, Value, and Allocation domain boundaries. • Participate in deterministic replay validation — ensuring frontend state is consistent with event-sourced backend projections. • Contribute to API contract design and ensure frontend consumption patterns align with the canonical event envelope. Technical Environment: • The platform architecture is a modular monolith with clear domain separation (Trust, Value, Allocation). • Single primary PostgreSQL cluster with replicas for read and backup. • Canonical event spine (append-only, event-sourced) with CDC-based projection runners. • REST / GraphQL / WebSocket API surface. • AI moderation services (LLM classifiers, behavioural anomaly detection, embeddings). • External market data providers with TradingView-compatible datafeed adapter. • Deterministic PRNG and snapshot-bound parameter system for replayable ranking. Oferujemy: Ground-floor role in a platform designed from first principles to reshape financial media credibility. Direct collaboration with the founder on product and technical direction. Opportunity to work on a novel deterministic architecture — not a CRUD app with a feed bolted on. Remote-first, flexible engagement with a lean, high-autonomy team. Potential participation in the Client's token economy (FPT) as it activates in Phase 2+.