OUR STORY:

Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We’re working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix, Steuerbot and TaxScouts, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we’re rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.

HANDS ON EXPERIENCE WITH AGENTIC AI CONCEPTS, MULTI-AGENT ORCHESTRATION, AND AUTONOMOUS SYSTEMS.

• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Strong understanding of data science workflows, from preprocessing to model evaluation.
• Ability to work collaboratively in a fast-paced, cross-functional environment.
• Enthusiasm for solving real-world problems with AI, especially in areas that simplify people’s financial lives.

KNOWLEDGE OF MLOPS PRINCIPLES (DEPLOYMENT, MONITORING, AND SCALING AI MODELS).

• Exposure to reinforcement learning or AI planning methods.

YOUR RESPONSIBILITIES AND DECISIONS:

• Collaborate with Product Managers, Data Scientists, and AI Engineers to define use cases for LLMs and multi-agent orchestration.
• Research and prototype agentic AI approaches for reasoning, planning, and decision-making in user-facing tax workflows.
• Fine-tune foundation models (LLMs and domain-specific ML models) for personalized tax assistance.
• Develop and evaluate multi-agent architectures for handling complex tasks across Taxfix products.
• Apply data science methods to analyze structured and unstructured tax-related data, driving model improvements.
• Experiment with emerging frameworks for autonomous AI agents and evaluate their performance in production-like scenarios.
• Contribute to internal documentation, demos, and knowledge-sharing sessions to spread AI innovation across the company.

EXPERIENCE IN FINE-TUNING LLMS FOR DOMAIN-SPECIFIC TASKS.

• Hands on experience with AutoGen, LangGraph, CrewAI, or similar multi-agent orchestration frameworks.