Führt KI-Projekte von der Idee bis zum Betrieb, steuert Umsetzung mit dem Engineering-Team und definiert Qualitätsmessung für RAG-Assistenten, Copilots und Agenten.
Baut Testmanagement auf, automatisiert E2E-Tests für die Lernplattform OLAT und testet das KI-System (RAG, MCP) auf Antwortqualität und Robustheit.
brings together applied LLM engineering and solid backend engineering in TypeScript.
Einleitung Wir sind eXXcellent solutions.
Du baust Agents und Workflows, die sich in bestehende Systeme einfügen, etwa in ERP, CRM, Microsoft 365 oder Zeiterfassung.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Entwickelt Kundensoftware, setzt Coding Agents und LLMs im Alltag ein und gestaltet die KI-gestützten Entwicklungsprozesse mit.
Migriert Kunden-Frontends zu Next.js, auditiert Performance und baut vor Ort produktive KI-Agenten mit TypeScript und AI SDK.
Design and ship features in backend services (Java and Spring Boot) and/or web (TypeScript), with AI services in Python or TypeScript where
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers.
AI is moving faster than any single product team can track.
We’re on the lookout for an ambitious AI-Engineer to join our Engineering team at our office in Berlin.
Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform.
Design and implement decoupled data supply chains, spanning landing zones, quality and transformation layers, and consumption layers, to ens
Develop, validate, and deploy predictive, prescriptive, and optimisation models for core business domains including procurement, manufacturi
Who are we? Cohere is the leading security-first enterprise AI company.
Entwickelt Features End-to-End für eine Workflow-Engine und integriert LLM-basierte Agenten und Tool-Use in Produkterlebnisse.
Build the agent runtime and harnesses.
This role is for engineers who care about velocity and solving real customer problems.
You ll be designing the future of product discovery: the moment a shopper goes from intent to purchase, reimagined through AI.
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
Entwirft und baut KI-gestützte Workflows mit LLMs und RAG, die Fachbereiche wie Finanzen und Vertrieb automatisieren, und verbindet dafür interne Systeme per API.
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
Löst Produktionsprobleme von Kunden end to end, diagnostiziert Fehlverhalten von KI-Agenten (Prompts, Wissensbasis, Config, Modell) und automatisiert Fixes.
Ship merged PRs. Add and improve SearchApi support in the frameworks and repos developers actually use.
Warum dieser Job gelistet ist
Projektleitung ist eine Fachrolle, in der KI-Verständnis (LLMs, RAG, Agenten) und die Bewertung von KI-Lösungen benannte Kernanforderungen und Aufgaben sind, das Arbeitsergebnis aber nicht selbst KI-Entwicklung ist.. Prüfverfahren ansehen
Experience: Several years of project management in software, data or digital transformation projects; AI or data projects are a strong plus. AI Understanding: A solid grasp of how large language models, retrieval-augmented generation (RAG) and AI agents work, what they are good at and where they fail. Technical Foundation: Enough understanding of software architecture and cloud infrastructure (ideally Microsoft Azure) to discuss solutions with engineers and client IT and security teams.
Methods: Confident with agile delivery and with structuring ambiguous problems into concrete plans. Stakeholder Management: Experience working with business and IT stakeholders up to management level, including managing expectations about what AI can and cannot do. Data & Compliance: Awareness of data protection (Swiss FADP, GDPR) and information security in client projects.
Communication Skills: Excellent German and English, written and spoken. Mindset: Structured, hands-on and curious, with the ownership to bring projects over the finish line.
Competitive Remuneration: A competitive salary package, reflecting your experience and contributions. Pick Your Gear: Choose your preferred devices for work. Attractive Benefits: above market pension benefits and a private accident insurance.
Professional Growth: Participation in the Microsoft for Startups program, offering access to valuable resources, events and support. Interested in leading AI projects that make a real difference? We would be happy to hear from you.
Please send us your CV and, if available, examples of projects you have led. Join ParetoLabs and shape how Swiss companies put AI to work!
ParetoLabs is looking for an experienced and structured (Senior) AI Project Manager to lead AI projects for our clients from first idea to production. As part of our dynamic team, you will be the link between our clients, our engineers and the AI technologies we build with. You will scope projects, steer delivery and make sure what we ship creates real value in Swiss companies across a wide range of industries.
About ParetoLabs ParetoLabs is a Zurich-based software studio that develops customized, AI-powered applications for conversational and text-processing use cases. We help companies quickly test, implement, and scale AI applications within their specific business environments. Founded in 2023, ParetoLabs is a Microsoft for Startups partner that combines innovative AI technologies with the individual requirements of Swiss companies.
Tasks Lead AI projects end to end — retrieval assistants, copilots and agents — from discovery and scoping to rollout and operation. Translate business problems into clear use cases, requirements and success criteria together with our clients. Plan and steer delivery with our engineering team: scope, timeline, budget, risks and priorities.
Define how quality is measured and make sure solutions are evaluated before and after go-live. Work with client stakeholders on data, security, compliance and change management. Collaborate closely with our multicultural team and bring your own ideas to projects with real-world impact.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.