Baut KI-Lösungen mit LLMs und Agenten direkt in Kundenumgebungen, bringt sie in Produktion und setzt die technische Architektur fest.
As a Forward Deployed Engineer for Key Accounts, you are the technical point of contact for a portfolio of Aircall s strategic customers.
qlub is scaling fast across markets worldwide, and we look for people who take real ownership of their work.
Who We Are Accenture Song is the world’s largest tech-powered creative group.
Baut Python-Backend-Services und MCP-Server, die die Plattform für KI-Agenten bereitstellen, integriert LLMs und betreibt ETL-Pipelines.
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.
We are looking for a Senior AI Engineer to own and scale the AI layer of one of our core D2C subscription products.
Du berätst zu KI-Strategien für den digitalen Arbeitsplatz: Use Cases identifizieren, bewerten und in eine Roadmap überführen Du konzipierst
Als AI Solutions Architect gestaltest du die strategische und technologische Weiterentwicklung Künstlicher Intelligenz in den IT-Services de
Als AI Engineer entwickelst und implementierst du innovative KI-Lösungen auf Basis moderner Large Language Models (LLMs) und begleitest dere
Strategische Ausrichtung der divisionalen Data-, AI- und Cloud-Landschaft sowie Entwicklung einer mehrjährigen Roadmap im Einklang mit der K
Erforderliche Skills & Erfahrungen F ull Stack Development AAWU18 technisch und funktional weiterentwickeln neue Features Fullstack umsetzen
Implement agent features and integrations in production codebases – APIs, websockets, tool-calling workflows – following established architecture patterns.
Build the agent runtime. Sandboxed execution, tool orchestration, memory, the closed loop where the agent checks its own work.
& Verantwortlichkeiten Entwicklung und Implementierung von AI- und Agenten-Lösungen von der Idee bis zum produktiven Einsatz Konzeption mode
Baut Power-Automate-Automatisierungen und Copilot-Use-Cases in M365, entwickelt interne Assistenten und schult Kunden im Prompting.
Was du bei uns machst Technische Umsetzung beim Kunden: Architektur, Integration und Inbetriebnahme von KI-Lösungen (LLMs, RAG, Agentic AI,
Die Sparda-Bank Hannover ist eine genossenschaftliche Bank.
At 5Plus (part of Pentadoc Group), we build production-grade AI systems that solve real operational problems for our customers.
im Team Worum es geht Wir sind Markus und Thomas, die Gründer von replient.
ERGO NEXT is building its Finance organization to be AI-native — starting with reinventing how we forecast the business from the ground up.
Jobbeschreibung Mach mit uns Schweizer Kleinunternehmen noch erfolgreicher!
KI-Agenten arbeiten rund um die Uhr, werden nicht müde und erledigen wiederkehrende Aufgaben zuverlässig und mit weniger Fehlern.
Entwickelt KI-basierte Anwendungen, Agents und Automatisierungen, bindet sie an Unternehmenssysteme an und erschließt dafür Use Cases mit den Fachbereichen.
Du verfolgst, was sich bei KI-Technologien tut, prüfst neue Ansätze auf ihren Nutzen und setzt das Passende bei uns ein von großen Sprachmod
Bei aktuellen Projekten dreht es sich viel um das Training von eigenen VLMs und um das, was jedes Unternehmen umtreibt: den Einsatz von Agen
Warum dieser Job gelistet ist
Kernaufgabe ist die Entwicklung und der Produktivbetrieb von LLM- und Agentensystemen; ohne KI-Bezug entfiele das Arbeitsergebnis.. Prüfverfahren ansehen
rewards range. We look for people who are genuinely deep in one discipline and credible across the others: client delivery, AI and agentic systems, engineering and infrastructure, and the subject matter of the business they are working in. Our culture - We are looking for exceptional talent with excellent communication skills - Collaboration is key, both internally and with our clients.
We believe we do our best work when we are together and working hand in hand with business users - Curiosity is something we embrace and value highly - We want people who are positive and passionate, have proven problem solving capabilities, can work quickly to find solutions to complex challenges and unlock big opportunities - People need to be able to take ownership and be trusted to deliver, going the extra mile - We want people who are highly motivated and have a high desire to learn Responsibilities - Embed within client teams to understand how work is really done, and frame business problems and commercial opportunities as AI problems — applying judgement to identify the true need beyond the stated requirement - Lead delivery end to end: design, build, test, deploy and iterate AI solutions in live production environments - Set the technical direction on your engagements, making the architectural calls and defending them to client engineering and security teams - Stand up the technical foundations that solutions depend on, working with client IT to secure the right integrations, access and hosting - Prove value in production at small scale, then work with colleagues to productise and scale what works - Build a pipeline of new use cases from what you observe on the ground, and help clients build their own capability rather than a dependency on us - Bring on other engineers as the work grows, and raise the standard of delivery around you through review, pairing and mentoring - Challenge current systems and processes to achieve common goals through technical excellence and innovation - Keep abreast of progress in AI and technology trends that keep us at the forefront of what is possible What makes a great candidate - Excellent programming and system design skills, with recent hands-on experience in Python and ideally one of C#/.NET, Java, Rust or C++ - A track record of taking AI or machine learning systems into production — not just prototypes — including substantial experience with LLMs, prompt design, agentic workflows, evaluation harnesses and retrieval pipelines - Depth in the surrounding engineering: APIs and integrations, SQL, cloud platforms (Azure or AWS), version control, CI/CD, and the security and access considerations that come with deploying inside someone else s environment - Proven ability to own a project from start to finish in an ambiguous setting, and the judgement to know what to build, what to buy and what to leave alone - Experience working directly with clients or business stakeholders, including the credibility to push back when the stated requirement is not the right one - An entrepreneurial nature: willing to take ownership, run towards problems, and thrive on innovation - The ability to communicate clearly and professionally with clients and colleagues at every level, including non-technical business users - A desire to understand and solve business problems, build domain knowledge and increase market understanding - A strong academic background, with an undergraduate degree in computer science, mathematics, engineering or a related field - Financial services experience is a bonus, but is not essential Why join us? - Push the boundaries of what is possible, and re-imagine how leading-edge AI can be used to deliver commercial value - Make an impact from day one: we empower and trust our people to leverage and extend their skill sets - Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends - Deliver demonstrable business value working hand-in-hand with the customer - Learn from industry experts across the full breadth of Oliver Wyman s client base Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. To learn more, please follow us on LinkedIn, Instagram or Twitter.
Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. We are an equal opportunities employer.
We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office.
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments. DNA is Oliver Wyman s home for data, analytics, AI and engineering practitioners. We sit alongside our consulting colleagues and inside our clients teams, turning real business problems into working technology.
This is a hybrid role, with at least three days per week spent in the office or onsite with clients. The opportunity Forward Deployed Engineers take AI solutions from idea to secure production inside live client environments. You will embed with a client team and work like a member of their staff: understanding how the work actually gets done, translating messy real-world workflows into something an AI system can support, then building, testing and iterating alongside the people who will use it.
As a senior member of the team you will do this without a defined brief. You will decide what is worth building, set the technical direction, and stand up the foundations the solution needs — integrations, permissions, hosting, data access — in a way that holds up in an architecture review and a security assessment. You will prove value in production at small scale rather than in a polished demo, and build the pipeline of the next use cases from what you learn on the ground.
You will also be one of the people others learn from: shaping how we deliver, raising the technical bar, and giving less experienced engineers the context and confidence to own their own work.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.