We’re seeking a driven Senior Applied AI Engineer to join one of the fastest-growing legal tech companies in Europe as we expand our core AI team.
Company Description We’re the world’s leading sports technology company, at the intersection between sports, media, and betting.
Baut mit Kunden produktionsreife Agenten-Lösungen (MCP-Server, Sandboxes, Multi-Agent-Setups) und definiert Sicherheits- und Governance-Kontrollen für agentische KI.
Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making.
RevenueCat helps app developers manage subscriptions and make more money from them.
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 selbstkorrigierende Agenten-Schleifen für KI-generierten Embedded-Code und definiert deren Verifikationsstrategie inkl. CI und Traceability.
We re looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products.
Senior Solutions Engineer About ArangoDB Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assi
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.
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
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.
Du baust Agents und Workflows, die sich in bestehende Systeme einfügen, etwa in ERP, CRM, Microsoft 365 oder Zeiterfassung.
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
For hundreds of thousands of European entrepreneurs, our iOS app is Finom.
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.
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.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Technical Expertise: - Extensive hands-on experience building and deploying generative AI systems in production - Strong experience with RAG architectures (embeddings, retrieval, ranking) - Practical experience designing and deploying agentic systems or AI agents in production - Experience with LLM observability and evaluation tools (e.g., LangSmith, Langfuse) and designing evaluation pipelines for LLM systems - Strong programming skills in Python and solid software engineering practices - Experience designing LLM systems beyond simple API integrations, including retrieval pipelines, orchestration logic, and tool/agent workflows - Experience implementing AI features in real product environments, not purely research or academic settings - Ability to translate modern AI techniques into reliable, user-facing product functionality
Foundational Impact – Help build and scale the core AI capabilities of JUPUS from the ground up Technical Ownership – Work directly on the systems powering AI features across multiple products Growth Environment – Build production AI systems at the cutting edge of generative AI and agentic workflows Leadership Visibility – Flat hierarchy with direct access to the Head of Engineering and CTO, reporting to the AI Lead Fully Remote – Enjoy the flexibility of working from anywhere Top Equipment – State-of-the-art MacBook plus all the accessories you need ️ Wellbeing
We’re seeking a driven Senior Applied AI Engineer to join one of the fastest-growing legal tech companies in Europe as we expand our core AI team. This role focuses on applied generative AI in a production environment, building systems such as RAG pipelines, agentic workflows, and AI features used directly by lawyers. Reporting to the AI Lead, you’ll work hands-on from architecture to implementation, collaborating with the Head of Engineering and product teams to ship reliable AI functionality while improving our LLM infrastructure, observability, and evaluation workflows.
You ll join an AI squad of five Applied AI Engineers, the AI Lead, an AI PM and legal engineers. For an engineer with practical experience building and deploying generative AI systems, this is an opportunity to create real product impact and help shape how AI evolves across the company. Your Challenge and Opportunity in This Role You’ll help define how AI is built and shipped in a fast-moving product environment.
As a core AI Engineer, you’ll turn modern generative AI techniques into production-ready systems that deliver real value to users. You will contribute to capabilities such as document understanding, document generation, and conversational interfaces over legal case files, and Jara, our agentic legal assistant, which preps each lawyer s day, requests missing documents, drafts briefs and creates case files, with the lawyer approving every action. Expect strong technical ownership, fast iteration, and a clear focus on building practical AI systems that improve productivity for law firms.
Tasks AI Strategy & Implementation: - Architect and implement production-ready generative AI and LLM-based solutions within our product suite - Design and develop agentic systems like Jara that perform multi-step casework within the JUPUS platform, with action previews, clarifying questions, approval gates and full traceability - Build and maintain RAG pipelines enabling users to interact with documents and case files - Implement evaluation, testing, and observability for AI systems to ensure reliability and continuous improvement - Establish best practices for AI development, testing, and deployment across products - Initially handle AI development hands-on as a core technical contributor within a small, fast-moving team where engineers own problems end-to-end and ship quickly Cross-functional Collaboration: - Work closely with product, design, and engineering teams to integrate AI capabilities into real product workflows - Translate complex AI concepts into practical product features and communicate them clearly to both technical and non-technical stakeholders
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Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.