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Agentic AI Engineer

CUBE

Berlin
Hybride
EUR 70 000 - 90 000
Hier
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Student Assistant – Program & Learner Support: THRIVE (all genders)

Kiron Digital Learning Solutions GmbH

Berlin
Hybride
< EUR 20 000
Hier
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Stv. Abteilungsleiter (Lead) (w/m/d) – 37,5h – NFS Piding

Nike

Piding
Sur place
EUR 35 000 - 50 000
Hier
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Werkstudent:in im Bereich Product & Technology mit Schwerpunkt Loyalty-Management (gn)

HANDELSBLATT MEDIA GROUP SERVICES GmbH

Düsseldorf
Sur place
EUR 20 000 - 40 000
Hier
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Sales Manager (DACH)

Impossible Cloud

Hambourg
Sur place
EUR 60 000 - 80 000
Hier
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HR-Spezialist (m / w / d) Service Hotline Personal

Dussmann Group

Berlin
Hybride
EUR 40 000 - 55 000
Hier
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Konstrukteur (m/w/d) SIEMENS NX

CENIS Consulting-Engineering-Service GmbH

Francfort
Sur place
EUR 45 000 - 60 000
Hier
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Solutions Advisor - 10924

Coupa Software, Inc.

Francfort
À distance
EUR 70 000 - 90 000
Hier
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Personalsachbearbeiter •in in Teilzeit (20 Std. / Woche) (m / w / d) - SPL Südwest Presse Logis[...]

SPL Südwest Presse Logistik GmbH

Brême
Hybride
EUR 30 000 - 45 000
Hier
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Personalreferent Recruiting / Personalentwicklung(m / w / d)

Profiler GmbH

Berlin
Sur place
EUR 50 000 - 70 000
Hier
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Human Resources Support

TRICERA energy GmbH

Dresden
Sur place
EUR 40 000 - 60 000
Hier
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Project Manager Turnkey Substation New Construction Projects (f/m/d)

-

Berlin
Sur place
EUR 60 000 - 80 000
Hier
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Stellv. Teamleiter (m/w/d) Hotellerie

LIEBLANG.com - Lieblang Dienstleistungsgruppe Management GmbH

Stuttgart
Sur place
EUR 100 000 - 125 000
Hier
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Sekretär / Assistenz im Bereich Versicherungen und Finanzen (m/w/d)

MLP Finanzberatung SE

Bochum
Hybride
EUR 40 000 - 60 000
Hier
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Controller (m/w/d)

DIS Deutscher Industrie Service AG

Oberhausen
Hybride
EUR 55 000 - 70 000
Hier
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Assistenzkurator:in In Vollzeit (w/m/d)

BVDG

Düsseldorf
Sur place
EUR 40 000 - 50 000
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Fachkraft für technische Sonderfertigungen (m/w/d)

Guldberg GmbH

Brême
Sur place
EUR 45 000 - 60 000
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Senior Engineering Manager (f / m / d)

Thermondo

Berlin
Hybride
EUR 90 000 - 120 000
Hier
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Disponent im Nahverkehr (m / w / d)

Friedrich Zufall GmbH & Co. KG

Fulda
Sur place
EUR 40 000 - 50 000
Hier
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Wissenschaftliche Koordination – Hämatologie und Onkologie / Medizinische Klinik 2

Universitätsmedizin Frankfurt

Francfort
Sur place
EUR 45 000 - 60 000
Hier
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Trader Chemicals (m/f/d)

ThyssenKrupp Presta AG

Essen
Sur place
EUR 60 000 - 80 000
Hier
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Werkstudent*in Projektsteuerung Deutschlandnetz

NOW GmbH

Berlin
Hybride
EUR 40 000 - 60 000
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Kaufmännische Assistenz (m / w / d)

eXperts consulting center

Erfurt
Hybride
EUR 40 000 - 50 000
Hier
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Betriebsmittelplaner /Produktionsplaner (m/w/d) für AIRBUS

Orizon GmbH, Unit Aviation

Manching
Sur place
EUR 55 000 - 75 000
Hier
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Personalsachbearbeiter •in in Teilzeit (20 Std. / Woche) (m / w / d) - SPL Südwest Presse Logis[...]

SPL Südwest Presse Logistik GmbH

Berlin
Sur place
EUR 20 000 - 40 000
Hier
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Agentic AI Engineer
CUBE
Berlin
Hybride
EUR 70 000 - 90 000
Plein temps
Hier
Soyez parmi les premiers à postuler

Résumé du poste

A global RegTech company in Berlin is seeking an experienced LLM Engineer to join their innovative AI lab. The role focuses on designing and implementing advanced AI systems, emphasizing agentic AI where models operate autonomously. Ideal candidates will have over 2 years of experience in software or LLM engineering, particularly with Python. You will work in a hybrid environment, contributing to a high-performance team and shaping the future of regulatory compliance. Join us in transforming enterprise software with cutting-edge technology.

Prestations

Great location
Gym
Rooftop pool & sauna
Many events

Qualifications

  • 2+ years of experience in software or LLM engineering, ideally with Python.
  • Strong foundation in backend or data systems, experience deploying LLM‑based applications to production.
  • Understanding of prompt engineering and NLP methods.

Responsabilités

  • Design and implement advanced, (multi-)agentic AI systems using LLMs.
  • Collaborate with the Head of Agentic AI Engineering and the team of LLM engineers.

Connaissances

2+ years of experience in software or LLM engineering, ideally with Python
Strong foundation in backend or data systems
Great problem-solving skills
Strong English communication skills
Curiosity and ability to learn new technologies quickly

Outils

Python (fastAPI, langchain)
Typescript (React)
MySQL
Docker
AWS
Description du poste

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.

Why us?

🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally.

🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead.

🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one.

🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success.

💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, you will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance.

Role

We are looking for an experienced LLM Engineer for our new Berlin AI lab who is passionate about agentic AI - systems where models reason, act, and learn autonomously. You should have a proven track record of building scalable, production-grade AI systems and a strong grasp of how to translate cutting‑edge research into real‑world impact. The ideal candidate combines deep technical expertise with creativity and a bias for shipping practical, elegant solutions.

Your role sits at the intersection of our data and backend teams. You will design and implement advanced, (multi-)agentic AI systems that apply LLMs not just as tools, but as autonomous collaborators - reasoning over data, orchestrating workflows, and driving decisions. You’ll combine solid backend engineering with a deep understanding of how LLMs can act, learn, and adapt to solve complex user problems at scale.

This role is perfect for someone who loves turning cutting‑edge AI and NLP research into scalable systems, thrives on end‑to‑end ownership and autonomy, an experimentation‑welcoming setting, and wants to shape how agentic AI transforms enterprise software.

You will be working closely with the Head of Agentic AI Engineering and our compact high‑performance team of LLM engineers, software engineers, and data scientists. The team is part of recently acquired Berlin startup Kodex AI and works hybrid from an amazing office (great location, gym, rooftop pool & sauna, many events), and from home.

Our evolving tech stack:

  • Core: python (fastAPI, langchain), Typescript (React)
  • Infra & storage: MySQL, Pinecone, GCP, AWS, Azure, Firebase, Docker, github
Qualifications

2+ years of experience in software or LLM engineering, ideally with Python

Strong foundation in backend or data systems, and experience deploying LLM‑based applications to production

Familiarity with LLM orchestration frameworks (e.g. LangChain, LlamaIndex, OpenDevin, or custom agentic architectures)

Understanding of prompt engineering, retrieval‑augmented generation (RAG), tool‑use / agent frameworks, LLM evaluation, NLP methods

Experience with most of our tech stack (as listed above)

Bonus: experience building B2B SaaS or AI workflow products

Bonus: experience in an early‑stage startup environment

Bonus: experience in FinTech / RegTech / Finance / Regulatory / Compliance domains

Great problem‑solving skills, a pragmatic mindset, and a bias toward fast iteration

Curiosity and ability to learn new technologies quickly

Strong English communication skills and comfort working in a small, startup‑like, tech‑driven team

Interested?

If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE.

CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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