platform engineer for policy validation

The platform combines agentic AI capabilities with rule-based controls to automate governance and compliance validation through scalable, cloud-native solutions.

• Design and develop AI-powered policy validation frameworks using agentic and rule-based approaches
• Build scalable Python services, APIs, and automation workflows
• Develop RAG-enabled solutions and LLM-based validation agents
• Deploy, monitor, and maintain AI applications in cloud environments
• Implement CI/CD pipelines, containerized deployments, and operational tooling
• Collaborate with engineering, security, and governance teams to translate policy requirements into automated controls

• Strong Python development skills, including APIs, testing, data structures, and maintainable code
• Hands-on experience with Generative AI, LLMs, prompt engineering, and RAG architectures
• Experience with AWS, Azure, or Google Cloud
• Familiarity with cloud AI services, Docker, and CI/CD practices
• Understanding of model deployment, monitoring, scalability, and Responsible AI principles
• Excellent problem-solving, communication, and collaboration skills
• English: C1 Advanced
• Будет плюсом: Experience building AI/ML applications using frameworks such as scikit-learn, exposure to LangChain, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks, knowledge of governance, compliance, security controls, or policy-as-code concepts

• Локация: Польша
• Global Relocation
• Recognition and Evaluation
• Time Off
• Luxoft Training Center
• Well-being and Work-life Balance
• Health Care
• Company Events and Friendly Environment
• Internal Mobility
• Self-Learning Library
• CSR Projects