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.
Was du bei uns machst Funnel end-to-end denken und bauen.
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.
Über CHAPTERS Group CHAPTERS Group ist eine börsennotierte deutsche Holding, die vertikale Softwareunternehmen erwirbt und hält.
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.
Job Title: AI Operations & QA Tester – Overnight Coverage Location: Remote Why this role matters Our AI agents are directly serving live pol
Sprachmodelle in Fachanwendungen integrieren: RAG mit Retrieval und Reranking, Tool-Calling, MCP-Server, Multi-Agent-Abläufe Evaluierung auf
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams.
Definiert die Kamera-Spezifikation für Manipulationsdaten, baut das Bewertungs-Harness und trainiert erste Robotik-Policies auf eigenen Lagerdaten.
Migriert Kunden-Frontends zu Next.js, auditiert Performance und baut vor Ort produktive KI-Agenten mit TypeScript und AI SDK.
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Tabular data breaks the assumptions that make scaling work for language and vision.
At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models.
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
This role is for engineers who care about velocity and solving real customer problems.
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.