обновлено 20 часов назад
LLM Engineer (Agentic AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
LLM Engineer (Agentic AI) (Python, LangChain, RAG): Designing and implementing scalable multi-agent AI systems that reason over data, orchestrate workflows, and drive decisions with an accent on production-grade LLM applications, backend engineering, and NLP. Focus on building autonomous agent architectures, integrating tool use and retrieval-augmented generation, and translating AI research into enterprise regulatory intelligence products.
Location: Berlin, Germany; hybrid work from the office and home
Company
is a RegTech product company delivering AI-powered SaaS solutions for regulatory intelligence and compliance in financial services.
What you will do
- Design and implement advanced multi-agent AI systems for enterprise regulatory intelligence.
- Build production-grade LLM applications that reason over data, orchestrate workflows, and drive decisions.
- Combine backend engineering with LLM capabilities to solve complex user problems at scale.
- Apply prompt engineering, retrieval-augmented generation, tool use, agent frameworks, and LLM evaluation methods.
- Translate cutting-edge AI and NLP research into scalable, practical software solutions.
- Work closely with LLM engineers, software engineers, data scientists, and the Head of Agentic AI Engineering.
Requirements
- 4+ 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.
- Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, OpenDevin, or custom agentic architectures.
- Experience with most of the listed technology stack, including Python, FastAPI, LangChain, TypeScript, React, MySQL, Pinecone, cloud platforms, Docker, and GitHub.
- Strong problem-solving skills, a pragmatic mindset, fast iteration habits, and the ability to learn new technologies quickly.
- Strong English communication skills required.
Nice to have
- Experience building B2B SaaS or AI workflow products.
- Experience in an early-stage startup environment.
- Experience in FinTech, RegTech, finance, regulatory, or compliance domains.
Culture & Benefits
- Work in a compact, high-performance AI lab with end-to-end ownership and autonomy.
- Join a startup-like, experimentation-friendly, technology-driven environment.
- Access a Berlin office with a gym, rooftop pool, sauna, and regular events.
- Be part of a global organization with more than 700 employees across 19 countries.
- Benefit from a culture focused on personal and professional development, collaboration, diversity, and inclusion.
Hiring process
- Submit a resume detailing relevant experience and interest in .
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