Entwickelt und betreibt produktive LLM-Pipelines für Logistikdokumente, inkl. Prompt-Design, Evals, Monitoring und Modellauswahl.
Verantwortet Logistik-Features von der Idee bis Production und steuert Agents über Specs, mit Evals, Guardrails und Qualitätsprüfung.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
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Warum dieser Job gelistet ist
Ohne KI bliebe keine Kernaufgabe: Der Kern der Rolle ist der Bau und Betrieb von LLM-Anwendungen in der Produktion.. Prüfverfahren ansehen
As a Senior AI Product Engineer at Voyfai, you will own LLM pipelines that process real logistics documents and data in production, in multiple languages and formats. You will work closely with Product and Engineering to turn complex, unstructured problems into robust, production-ready AI solutions. This role is hands-on and impact-driven.
You will take end-to-end ownership from use case discovery and prompt design to deployment, monitoring and continuous improvement in production, with a strong focus on real-world reliability and business impact. Key Responsibilities - Design and own LLM pipelines that process real logistics documents and data in production: prompt design, structured output validation, eval harnesses, retries, fallbacks, monitoring, alerting and cost tracking - Decide when to use an LLM and when not to. A lot of good engineering here is knowing when a regex, a lookup table, or deterministic code is the right answer - Build the evaluation infrastructure: test datasets, regression checks, quality metrics tied to business outcomes - Pick models pragmatically across providers (Claude, GPT, Gemini, open-weights) based on cost, latency and quality tradeoffs for each use case - Stay ahead of the curve on prompting techniques and apply them pragmatically to solve hard extraction problems - Collaborate with Product to scope ambiguous problems into something an AI pipeline can actually solve reliably - Raise the bar on code quality, testing and documentation across the team
Several years as a software engineer shipping production systems, with at least 3 years focused on LLM-powered features in production - Strong backend fundamentals: PostgreSQL, async workflows (we use Temporal), queues, observability, CI/CD - Comfort working in both Python (AI pipelines) and TypeScript/Node.js (our product stack) - Deep practical understanding of LLM behaviour: prompting, structured outputs, context window management, common failure modes, handling non-determinism and writing evals that catch regressions before users do - Pragmatic judgment about architecture and tradeoffs. You have seen complex systems get simpler over time
Competitive salary and equity options - A dynamic, fast-paced work environment with a mission-driven team - Flexible working arrangements (Hybrid) - 30 days of PTO - Regular team events and offsites - Monthly mobility budget via Navit
Join Voyfai, a fast-growing Series A startup shaping the future of logistics and technology across Europe. Headquartered in Berlin, we operate at the center of a broader group of companies active across several European markets. This is a unique opportunity to take ownership from day one, drive meaningful impact and grow within a dynamic, fast-paced environment.
Whether you re shaping processes, building strategies or leading initiatives, your contributions will directly influence the success of Voyfai and the companies we support. If you re passionate about building from scratch and excited to be part of a company on the rise, we d love to hear from you.
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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeRouten, Auslastung, Umschlag: In der Logistik rechnet sich KI dort, wo Minuten und Kilometer zählen. Entsprechend oft geht es um Optimierung und Vorhersage.