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Skalar

Automated tax and compliance for SMEs

Senior AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMunich, Germany

About the Job

Requirements

  • At least 5 years of software engineering experience, with a standout recent focus on applied generative AI.
  • A bachelor's or master's degree in computer science or a related field.
  • Deep hands-on experience with large language model APIs such as OpenAI, Anthropic, or Gemini, agentic frameworks, and building robust retrieval-augmented generation pipelines.
  • Strong programming skills in Python and curiosity to learn across the stack.
  • A solid understanding of vector databases such as pgvector or Pinecone, and comfort with cloud basics including AWS, Google Cloud Platform, and Docker.
  • Very good written and verbal communication skills in English and German at a minimum C1 level.
  • A valid work permit to work in Germany.

Responsibilities

  • Take major AI features and intelligent agents end-to-end, from specification through shipping and measurement, working closely with Business Automation Managers and tax experts.
  • Implement robust large language model integrations, retrieval-augmented generation pipelines, data models, and prompt management systems, making pragmatic architecture choices with high autonomy.
  • Ship AI features quickly and iterate based on real user feedback from the internal operations team.
  • Build internal AI agents and influence the AI stack, cloud, and product choices, particularly regarding large language model integration.
  • Automate complex internal tax operations and build intelligent agents for the team and customers.

About the Company

Skalar

Automated tax and compliance for SMEs

Skalar is a German-based firm delivering automated tax advisory and compliance services for small and medium-sized enterprises (SMEs). It combines deep tax expertise with technology to automate a large portion of tax and audit work, enabling an efficient, scalable, and client-centric service delivered remotely. The core product analyzes and optimizes tax workflows using automation tools, aiming to build a fully autonomous tax and audit service for clients. Differentiators include being an early mover in Europe’s “tax autopilot” space, leveraging applied AI via venture backing from futurepresent, and embedding software into services to create outcome-oriented solutions. The company’s goal is to provide a remote, automated tax platform that handles tax advisory, compliance, and automated accounting tasks, allowing SMEs to focus on their core business.

Company size
11-50
Company stage
Seed
Total funding
$13.2M
Headquarters
Munich, Germany
Founded
2025

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