Senior AI Engineer (LLM, RAG & AI Systems for CX & Enterprise Solutions)

We are looking for a Senior AI Engineer to lead the design, integration, and adoption of AI systems across our customer experience (CX), retail, and enterprise workflow solutions.A key part of this role is integrating AI capabilities into existing .NET-based systems and enterprise applications, ensuring seamless interoperability between AI services and current infrastructure.You will act as the internal AI reference, enabling teams to adopt AI effectively across development, architecture, and delivery.Designing and implementing AI-powered systems using LLMs and RAG architecturesBuilding AI APIs and services that integrate seamlessly with existing systemsIntegrating AI capabilities into .NET-based enterprise applications and workflowsDesigning end-to-end AI-enabled architectures across web and mobile platformsDeveloping:AI microservicesAPI layers connecting AI services with backend systemsData pipelines for knowledge and retrieval systemsEnabling AI adoption across the team:Supporting developers in integrating AI into their features and workflowsIntroducing and promoting AI-assisted development (Vibe Coding) practicesHelping teams effectively use modern AI tools such as Lovable, Emergence, Volt, and similar platformsEvaluating and implementing:AI frameworks and librariesAI orchestration and agent-based systemsAI testing, evaluation, and performance monitoring pipelines Key ResponsibilitiesDesign and implement scalable AI system architectures integrated with existing platformsLead AI integration with enterprise systems, including .NET-based applicationsBuild and maintain:AI-powered APIs and servicesIntegration layers between AI systems and backend platformsRAG pipelines and knowledge systemsAct as the AI technical reference for the teamDrive adoption of AI tools and AI-assisted development practices across engineering teamsDefine best practices for:LLM usage and prompt engineeringRAG architecturesAI testing, evaluation, and monitoringCore RequirementsStrong experience in:Python (AI/ML systems)Backend development and API designHands-on experience with:LLMs and RAG architecturesVector databases and embeddings pipelinesProven experience building production-grade AI systemsExperience integrating AI with existing enterprise systemsKnowledge of Microsoft .NET stack (ASP.NET Core) is a strong plus, especially:Integrating AI services with .NET applicationsWorking with existing enterprise systems built on .NETBuilding APIs for interoperabilityStrong understanding of:System integration patternsMicroservices architectureREST APIsAbility to:Work on existing/legacy systemsTranslate business needs into scalable AI solutionsNice To HaveExperience with:Retail systems or customer experience platformsAI agents and autonomous workflowsAI orchestration frameworksFamiliarity with:AI-assisted development tools (e.g., Cursor, Copilot, Claude Code)Rapid AI builders (e.g., Lovable, Emergence, Volt)Experience with:Cloud-native AI deployment (AWS, Azure, GCP)Hybrid AI setups (local + cloud using tools like Ollama)Experience enabling teams to adopt new technologies and workflows