Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du end-to-end AI-Features, optimierst LLM-Systeme, implementierst menschliche Entscheidungsprozesse und prototypisierst schnell, um innovative Tools für die redaktionelle Arbeit zu schaffen.
Job Technologien
Deine Rolle im Team
- You own LLM-powered features end to end, from the prompt to what the editor sees, and you care whether the output actually gets published.
- You get ideas into working shape quickly instead of waiting for the perfect spec, and you stay with them until they hold up in production.
- Build product-facing features across the stack, with a clear bias toward shipping and iterating.
- Work on our multi-LLM pipeline (Anthropic, OpenAI, Gemini, Fireworks/Kimi) and make deliberate calls on model selection, cost and latency.
- Build eval loops against real editorial output: define the baseline, iterate, and be able to show what measurably improved.
- Own traceability across our LLM systems, meaning per-step tracing and prompt provenance, so a bad output can be traced back to the call that produced it.
- Design human-in-the-loop agent workflows: agents propose, the newsroom decides. Nothing goes live autonomously.
- Prototype fast, harden afterwards, and ship your own work to production, including configuration, feature flags and scheduled jobs.
- Bring your own product ideas, rather than only working through tickets.
Unsere Erwartungen an dich
Qualifikationen
- Demonstrated product instinct and speed: you ship working things and make pragmatic trade-offs.
- AI-native daily development (Claude, Cursor) as a real workflow, not a demo.
- You have built an eval loop, not just written prompts: baseline, iteration, measurable result.
- You have traced LLM behaviour in production (LangSmith or equivalent) and used it to find a real bug.
- You can explain when a deterministic pipeline is the better choice than an agent.
- Python, and the willingness to own the deployment of your own work.
- Fluent English
- Depth in FastAPI. We will also look at it if you have shown something comparable in another language.
- Enough frontend confidence to own a feature end to end.
- German.
Erfahrung
- Hands-on experience with LLM orchestration (function calling, agents, evaluation).
- Experience with publishing or editorial workflows.
Unser Angebot
- Direct collaboration with the founders and real influence on product and culture
- An AI-native working environment with first-class tools
- Flexible hybrid setup with an office in central Berlin and remote days
- Competitive salary and equity option
- Flat hierarchy, short paths and fast decisions
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
BeatSquares
BeatSquares ist ein aufstrebendes Unternehmen mit Sitz in Berlin, das sich auf die Entwicklung von KI-gestützter Software für Medienunternehmen konzentriert. Das Team unterstützt lokale und regionale Redaktionen dabei, journalistische Inhalte effektiver zu verbreiten und für verschiedene Kanäle zu optimieren. Mit einem Schwerpunkt auf LLM-gestützten Arbeitsabläufen und automatisierten Content-Formaten bietet BeatSquares Lösungen zur Sicherstellung der Qualität im redaktionellen Bereich.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Medien, Verlagswesen
AI Developer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
