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AI Engineer

RSB Automotive Consulting · Kraków, ML, PL

Actively hiring Posted 4 months ago

Role overview

  • Design and develop AI-driven solutions for analysing complex regulatory content
  • Build and orchestrate AI agents capable of reasoning, planning, and autonomous task execution
  • Implement retrieval-augmented generation (RAG) pipelines and knowledge grounding
  • Integrate AI solutions with enterprise data sources and internal systems
  • Deploy and monitor AI solutions in production environments using MLOps/LLMOps practices
  • Evaluate LLM and agent performance and ensure reliability and scalability
  • Transform AI outputs into structured insights that deliver business value

Basic qualifications

  • Several years of hands-on experience in applied ML or AI engineering
  • Strong Python programming skills
  • Experience with AI platforms such as Azure OpenAI, Google Vertex AI, Amazon Bedrock, or similar
  • Practical experience building AI agents (tool use, reasoning workflows, planning loops, autonomous execution)
  • Familiarity with orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or similar
  • Experience implementing RAG pipelines and enterprise integrations
  • Knowledge of deploying AI systems to production and working with cloud ML ecosystems (Azure, AWS, GCP)
  • Experience handling complex, high-volume, multi-source data
  • Strong communication skills and ability to translate technical outputs into business value
  • Professional proficiency in English

Preferred qualifications

  • Experience with scikit-learn, pandas, PyTorch, or TensorFlow
  • Understanding of deep learning and classical ML techniques
  • Opportunity to build impactful AI solutions in a regulated, high-stakes environment
  • Work on cutting-edge agentic AI and enterprise AI integration
  • Collaborate with multidisciplinary teams delivering strategic value
  • Influence compliance efficiency and risk reduction through AI innovation

Tags & focus areas

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Remote Ai Ai Engineer Machine Learning
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