We re looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products.
You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide?
Analysiert Geschäftsprozesse, leitet Anforderungen für GenAI-Lösungen ab und begleitet deren Einführung vom Pilot bis zum Rollout.
Über das UnternehmenWenn du schon mal eine CAD-Zeichnung gesehen hast und dachtest: „Da steckt doch mehr drin als nur Linien und Maße“, dann
Verantwortet das Produkt-Backlog einer Eyewear-Plattform, trifft technische Entscheidungen mit dem Team und bringt GenAI-/LLM-Features in die Produkte.
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.
is to provide expert human judgment on whether the resulting research is scientifically valid, genuinely novel, and of a quality comparable
Sie arbeiten eng mit Data Scientists, Data Engineers, Fachexpert:innen und Product Ownern zusammen, um robuste und langfristig gut weiteren
Baut agentische KI-Prototypen end-to-end, validiert sie mit Qualitäts-, Latenz- und Kostenmetriken und überführt sie in Referenzimplementierungen.
We re looking for a Senior Full-Stack Developer who can work confidently across frontend and backend, take ownership of features from initia
Leitet KI-Projekte vom Konzept bis zum Betrieb beim Kunden, entwickelt Kundenbeziehungen und integriert Voice Agents und Automatisierungen in Unternehmensprozesse.
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
Definiert die Kamera-Spezifikation für Manipulationsdaten, baut das Bewertungs-Harness und trainiert erste Robotik-Policies auf eigenen Lagerdaten.
You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency.
Entwirft und implementiert KI-gestützte SAP-Lösungen mit Joule und SAP AI Core, identifiziert KI-Use-Cases und begleitet Prototypen bis zum Produktivbetrieb.
Berät Kunden zu SAP-Architektur und KI-Integration, konzipiert und implementiert KI-gestützte SAP-Lösungen mit Joule und generativer KI auf BTP.
Berät Kunden zu SAP Business AI/BTP, bewertet KI-Use-Cases und baut KI-gestützte SAP-Lösungen mit Joule und generativer KI.
Tensordyne engineers build software on a scalable, high-throughput internal developer platform.
Dreht und plant Produktfilme und Social-Media-Content und integriert KI-generierte Szenen, Charaktere und Avatare in die Realfilm-Postproduktion.
We are seeking a tech-savvy, execution-oriented Growth & AI Marketing Operations Specialist to serve as the engine powering our growth campa
As an Agent Strategist, you own how Sierra s AI agents come to life for our customers — from first pilot to a production agent handling thou
At ARX Robotics, you will help advance the autonomy stack of next-generation unmanned ground vehicles.
Why SDK Engineering at Langfuse Your work will have an outsized impact.
Lead an organization of 25-30 engineers, data scientists, and ML practitioners across Berlin, Warsaw, NYC, Boulder, and Toronto, through a l
GFT Technologies ist ein verantwortungsvolles, KI-zentriertes globales Unternehmen im Bereich der digitalen Transformation.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
is end to end: you ll build the Agent workflows, define how we measure quality, keep them reliable in production, and shape where the product goes next. This role is for someone who has shipped LLM features to real users, stayed with them after launch, and can prove with data that their changes made things better. Job Scope: Build and own AI backend and Agent workflows - Design, build, and maintain multi-turn conversation systems, including context management, tool calling, knowledge retrieval (RAG), state management, and human handoff. Drive evaluation and continuous improvement - Define success criteria with Product, Design, and QA leads. - Turn production failures into evaluation samples and regression tests. - Measure the impact and side effects of every change before and after release. Diagnose problems across the stack - Isolate the root cause of failures: model judgment, knowledge gaps, abnormal tool responses, backend instability, or conflicting rules. - Apply the right fix for each cause rather than defaulting to prompt tweaks. Own production reliability - Handle timeouts, retries, graceful degradation, async jobs, and third-party dependency failures. - Make sure every issue is traceable through logs, every change is versioned, and every failure has a recovery path. Shape product and technical decisions - Give clear, reasoned positions on requirements, covering feasibility, cost, risk, and alternatives. - Propose better approaches and break work into phased, shippable deliverables. Communicate proactively and follow through - Share progress, blockers, ETAs, and next checkpoints without needing to be chased. - After launch, track real-world impact and leave clear documentation and handover materials.
Production LLM/Agent experience at scale. You ve built LLM or Agent features used by 10,000+ active users, and you ve maintained and improved them after launch. - Strong backend engineering fundamentals. You re comfortable owning production code, APIs, data flows, and incident troubleshooting.
Experience designing and implement backend services in Golang and integrate with LLMs and AI systems. - Real evaluation discipline. You ve built evaluation sets, regression suites, and production monitoring, and you can explain how you confirmed an improvement was real rather than random fluctuation. - Ownership mindset. You make decisions, surface risks early, and don t consider a feature done until it s verified in production. - Web3 experience.
Preferably 1 year of experience in a crypto, DeFi, or Web3 company (wallet, exchange, L1/L2 protocol, or DeFi platform strongly preferred)
This is a global and fully remote role. You must have the right to work for the country you are based. Why work at Trust Wallet? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits.
Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.
About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you re new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. About
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