Job Title: Product Engineer Location: Berlin, Germany Why this role matters Global supply chains rely on mission-critical workflows that bre
Berät KMU zu IT-Recht und Datenschutz und justiert parallel juristische KI-Agenten, korrigiert Falschantworten und trainiert die Quellenarchitektur.
Konzeption und Implementierung skalierbarer ML-Pipelines für Training, Evaluation, Deployment und Optimierung Aufbau moderner Embedding- und
A Snapshot of Your Day You re building the foundation of the Financial Planning & Analysis of tomorrow.
Berät Kunden zu SAP Business AI und BTP-Architektur, identifiziert KI-Use-Cases und baut KI-gestützte SAP-Lösungen mit Joule und AI Core.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Build and improve LLM agent workflows for nursing forms, assessments, care reports and care-plan suggestions, working on tools, context, state and prompts.
Almost everything Peec shows a customer passes through a model at some point.
Job Title: Technical Project Lead, Agentic AI Location: Berlin or Munich, Germany Why this role matters German Mittelstand companies urgentl
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
As a Software Engineer, you develop MAIA further and help decide from the start how we solve problems.
As a Product Engineer, you own features from start to finish: from conversations with customers and concept work through to implementation a
As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems.
This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy.
Job Title: AI Operations & QA Tester – Overnight Coverage Location: Remote Why this role matters Our AI agents are directly serving live pol
Softwareentwicklung, Künstliche Intelligenz, Data Engineering Ihr Schwerpunkt liegt auf der Konzeption, Entwicklung und Implementierung von
Analytics befindet sich im Wandel: Klassische Data Warehouses entwickeln sich zu intelligenten, cloudbasierten Datenplattformen.
Baut und betreibt Workflow-Automatisierungen in der Logistik und integriert LLMs mit Human-in-the-Loop in die Prozesse von Transport-, Zoll- und Verpackungsteams.
Strategic Technical Partnership: Partner with product and design as a technical peer - shaping scope, challenging assumptions, and influenci
We are looking for a Senior AI Engineer who treats LLMs as production software, not as magic.
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams, mit voller Verantwortung für deinen Bereich.
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams.
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams, mit voller Verantwortung für deinen Bereich.
Baut agentische KI-Prototypen end-to-end, validiert sie mit Qualitäts-, Latenz- und Kostenmetriken und überführt sie in Referenzimplementierungen.
Entwickelt die SaaS-Plattform von Backend bis Frontend, zerlegt Aufgaben für Coding-Agenten, sichert Qualität per Review und entwickelt den Insurgo Agent weiter.
Definiert die Kamera-Spezifikation für Manipulationsdaten, baut das Bewertungs-Harness und trainiert erste Robotik-Policies auf eigenen Lagerdaten.
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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Zur Originalanzeige217 geprüfte Stellen bei 135 Arbeitgebern, 23 davon ortsunabhängig. 85 in der KI-Entwicklung, 69 in Integration & Automatisierung.