Senior AI Engineer - GenAI & Modernization

For our client we are looking for a AI Engineer (GenAI & Modernization). Location: Poland (remote) Employment Type: Full-time Experience Level: Senior Contract type: B2B Contract Contract duration: 12 months with a strong possibility of later extension. The client is looking for long-term cooperation. About the Role: We are seeking experienced AI Engineers to design and develop next-generation Generative AI solutions that accelerate application modernization and software transformation initiatives. This role combines deep technical expertise in LLMs and AI architectures with hands-on development of intelligent automation frameworks for enterprise-scale environments. The ideal candidate will have strong experience building AI-powered solutions leveraging modern GenAI technologies, cloud-based AI services, and software modernization accelerators. Required Experience: 10+ years of total professional experience in software engineering, solution architecture, AI/ML, or related technology domains.5+ years of relevant experience designing and implementing AI/ML or Generative AI solutions.Proven experience delivering enterprise-scale AI applications from concept through production deployment. Key Responsibilities: Design and implement GenAI modernization accelerators for application transformation initiatives.Define and develop LLM architectures and advanced prompt engineering strategies.Build Agentic AI solutions to automate complex business and technical workflows.Design and implement Retrieval-Augmented Generation (RAG) architectures using enterprise knowledge sources and vector databases.Develop AI-powered capabilities for:Code analysis and automationBusiness rule extractionLegacy system reverse engineeringSource-to-target conversion accelerationAutomated test generation frameworksEstablish AI governance standards and best practices for responsible AI adoption.Manage and optimize the ML lifecycle, including model deployment, monitoring, and continuous improvement.Collaborate with architects, developers, and business stakeholders to identify AI-driven transformation opportunities.Design scalable, secure, and maintainable AI solution architectures. Required Technical Skills: Generative AI application developmentLLM ArchitecturePrompt EngineeringAgentic AI DesignRAG ArchitectureML Lifecycle ManagementAI GovernanceSolution ArchitecturePythonLangChain and/or LlamaIndexAzure AI ServicesOpenAI ModelsVector Databases Preferred Experience: Application modernization and legacy transformation projects.AI-driven code migration and code analysis solutions.Enterprise software architecture and cloud-native solutions.Building and deploying production-grade AI platforms and services.MLOps and AI operationalization practices.