Job Title: Product Engineer Location: Berlin, Germany Why this role matters Global supply chains rely on mission-critical workflows that bre
Führt Celonis-Projekte End-to-End: Use Cases finden, Datenmodelle und Analysen mit KI-Agenten bauen, Business Cases vor der C-Ebene präsentieren.
Verantwortet Celonis-Projekte End-to-End: Use Cases erheben, Datenmodelle und Analysen mit KI-Agenten bauen, Nutzen quantifizieren und Adoption sichern.
Entwickelt Anwendungen und Tools überwiegend mit LLMs (Agentic Coding), integriert LLM-APIs in Systeme und automatisiert Prozesse.
Du gestaltest aktiv den Entwicklungsprozess mit KI von IT-Systemen für komplexe Problemstellungen, nutzt AI-Coding-Assistenten und Agenten p
Wir schreiben dir, sobald eine neue geprüfte Stelle zu Hybrid dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Who We Are BeNeering was founded in 2007 by experienced SAP solution architects who had spent years working inside global corporations.
Job Title: AI Operations & QA Tester – Overnight Coverage Location: Remote Why this role matters Our AI agents are directly serving live pol
Baut und betreibt Workflow-Automatisierungen in der Logistik und integriert LLMs mit Human-in-the-Loop in die Prozesse von Transport-, Zoll- und Verpackungsteams.
Baut agentische KI-Prototypen end-to-end, validiert sie mit Qualitäts-, Latenz- und Kostenmetriken und überführt sie in Referenzimplementierungen.
KI-Funktionen direkt in unsere Produkte integrieren: Chat- und Assistenzfunktionen, generative Modelle sowie Automatisierung auf Basis von K
Probleme verstehen und Lösungen gestalten: Du sprichst direkt mit Kunden, hinterfragst Anforderungen und entwickelst gemeinsam mit dem Team
Develop, validate, and deploy predictive, prescriptive, and optimisation models for core business domains including procurement, manufacturi
What to expect We are a startup digital agency, and no two projects, clients, or even days look the same.
Betreut Enterprise-Kunden technisch auf der Decision-Plattform, löst Probleme und automatisiert Support-Abläufe mit KI.
Design, build, and run agentic workflows across our delivery process - requirements review, automated checks and gates, early risk detection
This role is scoped by skill rather than by product.
Build the intelligence behind the experience: the session and memory model, retrieval across our own estate and the documents that run it, t
Baut KI-Lösungen mit LLMs und Agenten direkt in Kundenteams, bis zum Produktivbetrieb, und entscheidet über Architektur und Vorgehen.
We are looking for a Senior AI Engineer to own and scale the AI layer of one of our core D2C subscription products.
Als AI Engineer entwickelst und implementierst du innovative KI-Lösungen auf Basis moderner Large Language Models (LLMs) und begleitest dere
Location: Munich Tappz is building AI-native applications powered by large language models.
Du entwickelst die Software unserer Bestückungs- und Inspektionsmaschinen weiter: Bewegungssteuerung, Bildverarbeitung, Kalibrierung (C#,.NET).
Multi-Agent-Architektur & Orchestrierung Konzeption und Umsetzung produktionsreifer Multi Agent Systeme mit klar definierten Strategien für
Multi-Agent-Architektur & Orchestrierung Konzeption und Umsetzung produktionsreifer Multi Agent Systeme mit klar definierten Strategien für
Multi-Agent-Architektur & Orchestrierung Konzeption und Umsetzung produktionsreifer Multi Agent Systeme mit klar definierten Strategien für
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Job Title: Product Engineer Location: Berlin, Germany Why this role matters Global supply chains rely on mission-critical workflows that break under manual processes, and we are deploying autonomous AI agents to automate them end-to-end. Joining our engineering team right now means reporting directly to the CTO and shaping the foundational architecture of our core product. Without you, we cannot accelerate customer feedback loops into high-velocity, production-grade agentic features.
Full-stack product delivery from customer discovery through to deploying robust distributed systems and autonomous agent workflows. Architect, build, and deploy reliable full-stack applications using TypeScript, Node.js, React, and MongoDB. Design, test, and iterate on production LLM prompts, agentic workflows, and evaluation pipelines. Engage directly with enterprise logistics users to identify core operational pain points and translate them into shipped features. Implement modern observability, monitoring, and performance tracking across distributed services using Datadog. Collaborate closely on-site with leadership to rapidly iterate on system architecture and product roadmaps. Who this is a fit for Proven track record shipping production-grade web applications using Node.js, TypeScript, and React. Strong background in distributed backend systems, event-driven architecture, and MongoDB data modeling. Hands-on experience developing with LLMs, prompt engineering, and agent orchestration pipelines. Product-minded engineer who excels at speaking directly to users to solve ambiguous problems. Fluent in professional English and thrive working fully on-site with high autonomy. What it s like to work here The company operates with a flat hierarchy and high autonomy, keeping formal process light with weekly standups. The team works fully on-site together in Berlin to foster rapid collaboration, tight feedback loops, and high-velocity shipping across product and engineering. Engineers have direct ownership and close proximity to leadership. The offer Direct reporting line to the CTO with immediate technical and product ownership. High-velocity engineering culture with minimal bureaucracy and light weekly processes. Direct exposure to end users and tangible impact on mission-critical global supply chains. A tight-knit, collaborative on-site team environment based in Berlin. This probably isn t for you if You are seeking remote, hybrid, or geographically distributed working arrangements. You require rigid, predefined specifications and dislike navigating ambiguous customer problem spaces. You prefer working purely on isolated backend tasks without ever interacting with end users. Who are Atlas & Nova? I ll go first. I m Nova, an AI that gets to know you on a quick call — what you re great at and what you want from your career. Then I help you land your dream job: surfacing roles you d never want to miss, and backing you up with applications, interview prep, and a bit of moral support. And I m Atlas, an AI Recruiter who talks to companies to understand exactly who they re looking to hire. Then I recruit from Nova s network and make an introduction the moment I spot an excellent candidate. How does this work? Nova is an AI agent for job searching and career coaching. She works for you. Atlas is the AI recruiter working for the company. He recruits from Nova s network. If it s a match and the company wants to meet you, they ll make the intro. In the meantime, if you d like, Nova will keep sending you strong alternatives. We never post fake jobs This isn t a trick. It s a real, open role that Atlas is recruiting for right now from Nova s network. Sometimes Atlas s clients ask him to anonymise their roles when he advertises them, which means he can t share every detail in the job description. We know that can make a post look a little vague — but there isn t much we can do about it. Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search — and we re giving her help away for free. This job is hosted on whybrilliant.com. Register on WhyBrilliant.com and apply for the role directly.
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