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We are creating the first well-being game for couples - If it's your first ride: earn how a start-up works and gain first hands experience - You receive a lot of flexibility and responsibility to develop the product - Company shares
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What you’ll do Own end-to-end features across our Next.js frontend and FastAPI backend—design, build, test, ship, and monitor. Harden and evolve our document processing pipeline: uploads → S3 → async processing (Azure Document Intelligence / Textract / multimodal) → DB persistence → semantic search (vector stores). Improve reliability and correctness of event-driven processing (SQS → Lambda handlers), idempotency, retries, DLQs, and observability. Build and maintain real-time UX (WebSocket events + SSE streaming) for long-running AI and document workflows. Work in the billing system (Stripe subscriptions, consolidated subscriptions, plan switches, schedules, proration) and make changes safely via tests + rollout strategy. Collaborate directly with users/stakeholders (often in German) to understand workflows and iterate quickly. Raise engineering standards through crisp PRs, tests, refactors, and documentation. Tech stack (what you’ll touch) Frontend: Next.js 15, TypeScript, Redux Toolkit + RTK Query, MUI + Tailwind, NextAuth (Cognito), WebSockets, SSE. Backend: FastAPI (async), MongoDB (Motor), Pydantic models, repository/service patterns. AWS: ECS (containers), Lambda, S3, SQS (+ DLQ), API Gateway / NLB, Secrets Manager. AI: multi-provider AI module, OpenAI Agents SDK (tool use, streaming, context management), extraction into typed Pydantic models, evaluation/quality workflows. Testing: pytest (incl. integration/real-PDF suites), Jest/RTL, Playwright. First 30 / 60 / 90 days (success looks like) 30 days: run the stack locally; ship a few small production changes; understand our critical flows (billing, document processing, SQS/Lambda tasks, real-time streaming). 60 days: own a medium-sized end-to-end feature; improve reliability or testing in a critical area (billing or document processing); be comfortable taking primary responsibility for a production incident in your area. 90 days: lead a high-impact project (e.g., quality improvements for a real PDF workflow, billing lifecycle hardening, or real-time reliability) and set a sustainable standard others can follow.
Übersetzung manueller Analysen (Fake MVP / Wizard-of-Oz) in skalierbare, reproduzierbare Systeme Aufbau robuster Datenpipelines für unstrukturierte Daten (PDFs, Excel, CSV) Entwicklung eines AI-first Produkts mit Fokus auf Vergleichbarkeit, Erklärbarkeit und messbaren Business-Impact Orchestrierung von LLMs, Heuristiken und Regeln zu verlässlichen Entscheidungsempfehlungen Sicherstellung von Datenisolation, Security und Vertrauen bei sensiblen Kundendaten Technische Mitverantwortung für Produktfokus, Architektur-Entscheidungen und Skalierungsstrategie Enge Zusammenarbeit mit Business & Kunden zur Priorisierung nach realem ROI statt technischer Eleganz
A wide variety of tasks need to be completed in the seed phase. In the medium term you will plan and oversee the technical side of a big digital ecosystem.
design and implement the complete software architecture for a e-commerce startup with needs for 3D product configurator incl. AI designer
- Define and own the overall system architecture - Build and evolve ClaimOS as an AI-native platform - Make key decisions around stack, infrastructure, and tooling - Establish engineering standards, processes, and culture - Hire and mentor future engineers - Work closely with product, customers, and partners on real-world integrations
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