AI & Automation Engineer

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At Paymira, our mission is to fully automate payroll for organizations while enhancing the employee experience and financial well-being. We use cutting-edge technology to provide a payroll service that combines the highest levels of automation with an outstanding customer experience.

In the age of AI, we see tremendous opportunities to redefine the way payroll services are delivered. Do you want to be part of this exciting change and help shape the future?

• Building scalable, secure and robust architecture and infrastructure.
• Development of AI agents: Design and implementation of intelligent agents for specific payroll use cases, such as:
  • Automatic extraction and processing of data from documents (e.g. contracts, policies).
  • Automated routing, prioritization and resolution of service requests.
  • Support for employees through personalized responses (e.g. “Payslip GPT”).
  • AI agent infrastructures that can be seamlessly integrated into the existing service.
  • Automation of workflows: Identification and implementation of automation opportunities, e.g. in data exchange with authorities, insurance companies and other stakeholders.
  • Integration into the payroll service: Collaboration with the engineering and product team to optimally integrate AI agents into the platform and processes.
  • Performance monitoring: Development of feedback and learning mechanisms for AI agents to continuously improve their accuracy and effectiveness.

Technical skills:

• Sound knowledge of machine learning, NLP and data engineering.
• Knowledge of at least one programming language such as Python or R.
• Experience with tools and frameworks such as PyTorch, scikit-learn and with communities such as Hugging Face.
• Knowledge of processing structured and unstructured data (e.g. OCR, computer vision, ETL processes).
• Experience in API integration and system interoperability.
• Experience in AI-based workflow automation with tools such as UIPath or Skyvern is an advantage.
• Experience in developing and implementing AI solutions in real business processes.
• Experience with MLOps frameworks and deploying machine learning models at scale.

Soft Skills:

• Entrepreneurial mindset, initiative and ability to work in a dynamic startup environment.
• Strong analytical and strategic thinking.
• Communication skills to convey complex technical solutions in an understandable way.

Education and experience:

• Degree in Computer Science, Data Science, Mathematics or a related field (or equivalent practical experience).
• 3+ years of professional experience in a similar role, ideally in HR tech, FinTech or B2B SaaS.

Attractive salary package with access to company shares (ESOP). Flexible working hours with the option to work remotely. Professional development opportunities and support for continuous learning. A collaborative and innovative work environment.