13.08.2026 aktualisiert
Premiumkunde
100 % verfügbarAI Front-End & Product Engineer
Berlin, Deutschland
Berlin +25 km
M.Sc. Information Systems ManagementÜber mich
User-focused, full-stack product engineer using Claude to build products end-to-end: React/React Native on the frontend, Node.js and Python (FastAPI) on the backend, AWS, Terraform, CI/CD. Building LLM features and agent workflows. Previously at Netlight Consulting, then founder, freelancer.
Skills
AI AgentsGitHub ActionsGCPJavaScriptGoogle BigQueryCSSCliGitHubUi-DesignPostgreSQLMongoDBNode.jsNoSQLUi PatternsNext.js
Fullstack Product Engineer mit Schwerpunkt Web, Mobile, Backend und KI-Features.
Ich übernehme Produkte end-to-end: Discovery, Architektur, Implementierung,
Deployment und Betrieb.
Frontend & Web: TypeScript, JavaScript (ES2022+), React, Next.js, HTML/CSS,
Komponentenarchitektur und -bibliotheken, State Management (Zustand, React Context),
Server-State und Caching (TanStack Query, Cache-Invalidierung, optimistische Updates),
Render- und Memory-Profiling, Bundle- und Asset-Optimierung, Responsive Design,
Barrierefreiheit (WCAG), i18n/l10n (Lingui).
Mobile: React Native, Expo, iOS- und Android-Plattformspezifika, native Module,
Offline-First-Architektur, SQLite und Schema-Migrationen, Deep Linking,
Notifications, Background Tasks, Over-the-Air-Updates, TestFlight- und
Store-Releases, Crash-Triage und Startup-Performance.
Backend & APIs: Node.js, Python, FastAPI, REST-API-Design, contract-first mit
OpenAPI, authentifizierte API-Gateways, Datenmodellierung, Firestore, PostgreSQL,
SQL, Echtzeit-Datensynchronisation, Authentifizierung und Autorisierung
(Firebase Auth, OAuth, Token-Handling, passwortlos), Secrets Management.
Cloud & Infrastruktur: Google Cloud Platform (Cloud Run, Pub/Sub, Vertex AI), AWS,
Docker, Terraform (Infrastructure as Code), GitHub Actions CI/CD, GitOps,
Environment- und Release-Konfiguration, Feature Flags, Build-Pipelines (EAS).
Daten & Analytics: BigQuery, Dataform, Datenpipelines (Pub/Sub, BigQuery),
Event-Taxonomie und Analytics-Instrumentierung, Funnels, Lifecycle-Modellierung,
Dashboards und Reporting.
KI & LLM-Engineering: LLM-Feature-Integration (Google Gemini API, Vertex AI),
Retrieval-Augmented Generation, Vector Search und Embeddings (Pinecone),
Prompt Engineering und System-Instruction-Design, Guardrails und Content-Filtering,
Structured Output, Streaming-UX, Token- und Kostenökonomie, Caching,
Rate Limiting, Fallback-Ketten, Agent-Orchestrierung und Multi-Agent-Workflows,
MCP-Server, Claude CLI (Agents, Skills, Memory), AI-assisted Development.
Produkt & Delivery: End-to-End-Ownership, 0-to-1-Produktentwicklung,
Product Discovery, User Research und Usability-Tests, Anforderungsaufnahme,
technische Specs und Architecture Decision Records, Scoping, Priorisierung
(Impact-Effort), Roadmapping, Backlog-Management, Release-Sequencing, Scrum,
Stakeholder-Management, OKRs und Outcome-Metriken, Code Review,
Unit- und Komponententests (Jest, React Testing Library).
Design & UX: Figma (inkl. Figma MCP, Figma-to-Code), Design Systems und Design
Tokens, Theming, Wireframes und Prototypen, Interaction Design,
Information Architecture, UX Writing, Design-to-Code-Handoff.
Branchen & Kontext: Life Science/Pharma (zentrale GenAI-Plattform, 50.000 MAU),
Automotive (Volkswagen/diconium), IT-/Telekommunikationsdienstleistung (T-Systems),
Public Sector, EdTech/Mobile Consumer (eigene App); regulierte Domänen,
DSGVO, Barrierefreiheitsanforderungen.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2026
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Scaled and built a native driving theory app from zero to launch, achieving 1k MAU, €1.7k MRR, and a 4.7-star rating across App stores.
Defined and shipped the AI tutor feature from scope to launch: designed the UX and tutoring logic, with client-side prompts and sever side caching and guardrails.
Spearheaded an 18k end-to-end re-branding initiative in collaboration with an external design agency.
Co-developed the B2B/B2C business model and product vision, owned end-to-end native app delivery from discovery to launch.
Co-owned partnerships with social-media influencers with a total of +100k followers.
PE: Led and developed an AI agent store feature for a central GenAI platform (50k MAU) of a life-science enterprise, from discovery to release. Contributing to an overall 8% productivity gain through the platform.
PE: Led and delivered an agentic workflow automation engine for a life-science enterprise, increasing team workflows productivity by up to 18%.
PM: Defined product vision, roadmap, and replacement strategy for an internal employee-management platform; drove a UX overhaul and personalization initiative, increasing user adoption.
PM: Improved processes for prioritisation and ways of working for the UN World Food Programme Skai disaster response tool.
Improved efficiency by streamlining travel expense application workflows with enhanced form validation.