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.
Senior Solutions Engineer About ArangoDB Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assi
Company team.blue is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.3 million SMB cust
Leitet ein Team, das skalierbare Analysepipelines für Spatial-Omics-Daten entwickelt und agentische KI-Workflows zur Automatisierung von Analysen aufbaut.
Are you ready to shape the future of Data & AI?
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.
Forschung an Multi-Tier-Optical-Circuit-Switching-Netzen für KI-Rechenzentren: Modelle bauen, Traffic-Placement optimieren, Algorithmen simulieren und publizieren.
Build models that predict user value, engagement and reward behaviour, and see them live in our product - Run A/B tests on offers, rewards a
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
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.
Sprachmodelle in Fachanwendungen integrieren: RAG mit Retrieval und Reranking, Tool-Calling, MCP-Server, Multi-Agent-Abläufe Evaluierung auf
is to provide expert human judgment on whether the resulting research is scientifically valid, genuinely novel, and of a quality comparable
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.
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
Lead Data Scientist or Quantitative Analyst - Commodity Intelligence ICIS – Karlsruhe/Germany or London About ICIS ICIS is part of Risk Solu
Senior Data Scientist / Quantitative Analyst - Commodity Intelligence ICIS – Karlsruhe/Germany or London About ICIS ICIS is part of Risk Sol
Senior Data Scientist / Quantitative Analyst - Commodity Global Trade Shipping & Logistics ICIS – Karlsruhe/Germany or London About ICIS ICI
In this role, you will work in the field of AI for CT image formation, reconstruction and denoising.
We re looking for a Senior Full-Stack Developer who can work confidently across frontend and backend, take ownership of features from initia
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world s leading travel search engine.
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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