Artificial Intelligence Engineer

Artificial Intelligence Engineer

Contract Type:

Full Time

Location:

Contact Name:

Ryan

Contact Email:

ryan.delaney@thryvetalent.com

Published

15-Sep-2025

Our client is a fast-growing analytics technology company based in Berlin, helping businesses transform raw data into actionable insights. Their mission is to empower decision-makers with cutting-edge tools that merge advanced analytics with state-of-the-art AI.

They are now expanding their AI team and looking for an AI Agent Engineer with a strong focus on large language models (LLMs) to shape the next generation of intelligent analytics solutions.

The Role
The AI Agent Engineer will:
  • Design, build, and deploy LLM-powered agents to support analytics workflows.
  • Develop conversational interfaces and autonomous reasoning pipelines integrated with the analytics platform.
  • Research, evaluate, and fine-tune open-source and proprietary LLMs for specific business applications.
  • Collaborate with data scientists, software engineers, and product managers to bring LLM-driven features into production.
  • Stay on top of the latest AI research and apply it to real-world analytics challenges.
Candidate Profile
  • Strong background in machine learning / NLP , with hands-on experience using modern LLM frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).
  • Proven track record of building AI/ML applications from prototype to production.
  • Solid coding skills in Python (bonus: experience with distributed systems or MLOps).
  • Familiarity with retrieval-augmented generation (RAG) , embeddings, vector databases, and agent frameworks.
  • Analytical mindset and passion for solving complex technical challenges.
  • Bachelor’s/Master’s in Computer Science, Data Science, AI, or related field (PhD a plus).
  • Fluent English (German is a plus).

Benefits & Offer
  • Opportunity to shape the future of analytics with next-gen AI solutions.
  • Collaborative, international team in Berlin’s thriving tech scene.
  • Hybrid work model with flexibility and autonomy.
  • Competitive salary, equity options, and personal development budget.
  • Regular team events, hackathons, and conferences.

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