Senior Front-end Engineer
Emma of Torre.ai•Polska
StaffInIT to agencja rekrutacyjna działająca jako pośrednik, co oznacza, że nie budujesz produktu własnego, lecz pracujesz dla klienta końcowego. Oferta dotyczy roli Senior Front-end Engineer w sektorze fintech, wymagającej biegłości w TypeScript i React.js przy pracy zdalnej z Polski. Stawka 40-80 USD/h jest atrakcyjna, plasując się powyżej średniej rynkowej dla regionu CEE, choć należy pamiętać o ryzyku kontraktu B2B przez pośrednika. Firma pozycjonuje się jako partner dbający o dopasowanie kulturowe, jednak w praktyce procesy rekrutacyjne przez agencje bywają mniej transparentne niż bezpośrednie. Brak informacji o konkretnym stacku technologicznym poza podstawami sugeruje dużą zmienność projektową.
📝 Opis główny / Wstęp
I’m helping StaffInIT find a top candidate to join their team flexible for the role of Senior Front-end Engineer.
You'll build the future of financial intelligence, bridging sophisticated backend logic with user-facing experiences.
Compensation:
USD 40 - 80/hour.
Location:
Remote (for Poland, Bulgaria, Latvia, Estonia, Georgia, Romania, Lithuania, Belarus, Moldova, Slovenia, Slovakia, Hungary, Czech Republic, and Greece residents).
Mission of StaffInIT:
"Our mission: to connect talent. empower businesses. We work with clients across industries, helping them build teams that make a difference, and support professionals in finding roles where they can thrive. At our core, we combine deep recruitment expertise with a human-centred approach—ensuring that each placement aligns skills, culture and ambition."
What makes you a strong candidate:
- You are proficient in TypeScript, React.js, Front-end development, API integration.
- English - Fully fluent.
Responsibilities and more:
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.
Key Responsibilities:
- 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.
Qualifications & Experience:
Required:
- 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.
Preferred:
- 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.
What We Offer:
- 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+.