About the Role
The platform combines agentic AI capabilities with rule-based controls to automate governance and compliance validation through scalable, cloud-native solutions.
Responsibilities
•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
Requirements
•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
Nice to Have
•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
Conditions
•Location: Poland
•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
