Staff AI Engineer - Automation & Agentic Workflows

30 000 - 40 000 PLN/ mies.
MidFull-time
#312110·Dodano około miesiąc temu·56
Źródło: LinkGroup
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Tech Stack / Keywords

PythonDatabricksWorkatoLLMLowCodeGenAIMoveworksN8N - tworzenie agentów AI

Firma i stanowisko

We are currently looking for a Staff AI Engineer to join an advanced AI and automation initiative within the construction technology space. The team is developing modern solutions that combine automation platforms, cloud data infrastructure, and AI technologies to improve efficiency across the entire construction lifecycle.


Wymagania

  • 7+ years of hands-on experience building and maintaining automation or integration solutions in production environments
  • Strong experience with enterprise low-code / no-code platforms (e.g. Workato, Make, Moveworks, or similar)
  • Solid Python skills, with the ability to implement custom logic and integrations
  • Practical experience working with LLMs and AI-driven solutions in real use cases
  • Strong understanding of APIs, system integrations, and workflow design
  • Ownership mindset and ability to drive solutions end-to-end
  • Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
  • Experience working in distributed, remote environments
  • English proficiency (C1/C2)

Obowiązki

  • Take ownership of the automation ecosystem, including configuration and deployment of workflow platforms (e.g. low-code tools)
  • Design and develop advanced agent-based workflows capable of handling multi-step processes and decision-making
  • Build and maintain integrations between APIs, data platforms, and AI-driven components
  • Combine low-code solutions with custom Python scripting where needed to extend system capabilities
  • Design and implement human-in-the-loop solutions to ensure control and transparency of AI-driven actions
  • Ensure smooth data flow between systems, including data platforms such as Databricks
  • Define best practices, document solutions, and support knowledge sharing within the team
  • Mentor less experienced team members and contribute to building team standards
  • Evaluate and experiment with different AI models and tools to identify optimal solutions.
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