Full Stack AI Engineer

Job Description Roles & Responsibilities Design and implement end-to-end AI solutions, from data ingestion and preprocessing to model deployment and monitoring. Develop and optimize machine learning algorithms and deep learning models for various applications, ensuring scalability and performance. Build robust APIs and microservices to integrate AI models into existing software architectures and applications. Create user-friendly interfaces and dashboards for interacting with AI systems and visualizing model outputs. Desired Candidate Profile System design & architecture (microservices, agent-based systems) REST API & gRPC integration Python backend development Kubernetes/AKS, Helm, progressive delivery (canary/blue-green) Azure cloud services, APIM Semantic Kernel / Microsoft Agent Framework (or similar agent orchestration frameworks) — good to have SSE streaming & async job/task management MongoDB / Cosmos DB Logging, monitoring & observability (Dynatrace, OpenTelemetry — good to have) CI/CD pipelines JWT/OAuth2 authentication patterns Employment Type Full-time Company Industry RecruitmentPlacement FirmExecutive Search Department / Functional Area IT Software Keywords Full-Stack Machine Learning EngineerIntelligent Systems EngineerData EngineeringApplied AI EngineerSoftware ArchitectureAPIsAI Software EngineerMachine LearningSoftware Engineer Get real-time job updates only on our App