Agentic AI Engineer, Cube
AI-driven regulatory intelligence platform
Be an early applicant
AI-driven regulatory intelligence platform
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To empower every regulated firm with the business intelligence to meet complex compliance challenges.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- 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
- 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
Application process
- Please submit your resume detailing your relevant experience and interest in CUBE.
Our take
After the 2008 financial crash, new compliance rules and regulations swept the financial industry. Now, with the emergence of crypto technology and blockchain, regulations are evolving once again. CUBE was founded in 2011 as a RegTech company powered by AI, that delivers regulatory monitoring, reporting, and compliance within the financial industry.
CUBE’s intelligence solution helps enterprises solve complex compliance problems for both multijurisdictional needs and more specific single lines of business. Its platform tracks, analyses and monitors laws, rules and regulations in every country and language, enabling it to serve clients across the globe.
Winner of multiple awards, CUBE has a proven track record of navigating the increasingly complex compliance issues of international financial markets. In 2024 it acquired competitor Reg Room, exemplifying its strong hold on the market. It also has solid funding behind it and a growing global presence - which certainly bodes well for its future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Mar 2024
$12.7m
GROWTH EQUITY VC
Total funding: $12.7m
Company HQ
City of London, London, UK
Leadership
Ben Richmond
(Founder & CEO)Also Chief Executive of IRTA (International RegTech Association), and Founder and Chairman of The Content Group.
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