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Gen AI Engineer

Gen AI Engineer

AmpstekKraków, Województwo małopolskie, Polska
30+ days ago
Job description

overview

We are seeking an

AI Engineer

with experience in building, integrating, and optimizing solutions using

Azure OpenAI, Azure AI Foundry, and Semantic Kernel Framework

  • . The ideal candidate should have strong Python skills and a solid understanding of modern AI / ML concepts to design intelligent, scalable, and enterprise-ready solutions.

Responsibilities

  • Design, develop, and deploy AI-powered applications leveraging
  • Azure OpenAI

    and

    Azure AI Foundry

    services.

  • Implement and customize solutions using the
  • Semantic Kernel Framework

    for orchestration of LLM workflows.

  • Build Python-based scripts, APIs, and automation pipelines for integrating AI models into enterprise applications.
  • Collaborate with cross-functional teams (data scientists, cloud engineers, and business stakeholders) to deliver AI solutions aligned with business goals.
  • Optimize AI models for performance, scalability, and cost-effectiveness on Azure cloud infrastructure.
  • Conduct experimentation, fine-tuning, and evaluation of large language models (LLMs).
  • Ensure compliance with security, governance, and responsible AI principles.
  • Document best practices, reusable components, and design patterns for AI solution delivery.
  • Required Skills & Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, AI / ML, or related field.
  • 5+ years of overall IT / software development experience
  • , with

    1+ years of relevant experience

    in AI / ML solutioning.

  • Proficiency in
  • Python

    for AI solution development.

  • Hands-on experience with
  • Azure OpenAI

    and

    Azure AI Foundry

  • Familiarity with
  • Semantic Kernel Framework

    for LLM orchestration and prompt engineering.

  • Understanding of API development, integration, and cloud-native application design.
  • Strong analytical, problem-solving, and communication skills.
  • Preferred Qualifications

  • Experience in fine-tuning and deploying LLMs in production.
  • Knowledge of MLOps practices (CI / CD for ML, model monitoring).
  • Exposure to containerization (Docker, Kubernetes).
  • Familiarity with other AI frameworks (LangChain, Hugging Face, TensorFlow, PyTorch).
  • Azure certifications in AI / ML or cloud architecture.
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