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.
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
Einleitung Wir sind eXXcellent solutions.
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.
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.
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.
AI is moving faster than any single product team can track.
Develop, validate, and deploy predictive, prescriptive, and optimisation models for core business domains including procurement, manufacturi
Löst Produktionsprobleme von Kunden end to end, diagnostiziert Fehlverhalten von KI-Agenten (Prompts, Wissensbasis, Config, Modell) und automatisiert Fixes.
Baut die Sicherheitsschicht für autonome Agenten: Isolation, nachvollziehbare Ausführung, manipulationssichere Events und abgesicherte CI/CD-Pipeline.
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
As a Senior Software Engineer specializing in the AI & ML ecosystem, you ll be a core contributor owning and evolving critical parts of Clic
What to expect We are a startup digital agency, and no two projects, clients, or even days look the same.
Betreut Enterprise-Kunden technisch auf der Decision-Plattform, löst Probleme und automatisiert Support-Abläufe mit KI.
You will build and iterate on internal tools and products, integrating AI capabilities into our systems.
Design, build, and run agentic workflows across our delivery process - requirements review, automated checks and gates, early risk detection
Advise on AI trust and governance.
Führt Kundenprojekte in Automotive, Luftfahrt und Energie durch und entwickelt ML- und Deep-Learning-Lösungen für Engineering-Daten.
Entwickelt agentische KI-Lösungen, die ASIC-Entwicklungszyklen beschleunigen, z. B. VHDL-Generierung und automatisierte Testfallerstellung.
Drive applied research and technical direction across retrieval and ranking systems - Design and evolve multi-stage retrieval architectures
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers.
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
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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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.