Lead AI Engineer (LLM & Agents)
We re looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products.
We re looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products.
Forschung an Multi-Tier-Optical-Circuit-Switching-Netzen für KI-Rechenzentren: Modelle bauen, Traffic-Placement optimieren, Algorithmen simulieren und publizieren.
If you re excited by the idea of building technologies that go beyond today s AI accelerators and helping define the future of computing, we
You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide?
im Team You will support the ECHT team in its mission of transforming traditional materials research into a fully digitalised, data-driven p
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.
Über das UnternehmenWenn du schon mal eine CAD-Zeichnung gesehen hast und dachtest: „Da steckt doch mehr drin als nur Linien und Maße“, dann
is to provide expert human judgment on whether the resulting research is scientifically valid, genuinely novel, and of a quality comparable
Entwickelt und verantwortet die iOS-App, die ein iPhone am Mikroskop mit On-Device-Computer-Vision-Modellen in Echtzeit betreibt.
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.
In this role, you will work in the field of AI for CT image formation, reconstruction and denoising.
In this role, you will work in the field of systems and physics of computed tomography to help address unmet clinical needs in precision diagnosis.
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
NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team.
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We are seeking a tech-savvy, execution-oriented Growth & AI Marketing Operations Specialist to serve as the engine powering our growth campa
itself is hardware focused, but requires intimate knowledge of how Software would use compute resources – this includes embedded software, a
GFT Technologies ist ein verantwortungsvolles, KI-zentriertes globales Unternehmen im Bereich der digitalen Transformation.
Aptiv is a global technology leader with more than 200,000 employees across 48 countries.
Design and ship features in backend services (Java and Spring Boot) and/or web (TypeScript), with AI services in Python or TypeScript where
GFT Technologies ist ein verantwortungsvolles, KI-zentriertes globales Unternehmen im Bereich der digitalen Transformation.
MS or PhD in computer vision, machine learning, computer science, or a related field, or equivalent practical experience - 5-7+ years of han
This role will design and develop technology in partnership with other software engineers in the US, UK, Germany, and Japan.
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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