Full stack - AI Application Engineer - People Analytics

Job Title Full stack - AI Application Engineer - People Analytics Job Description Job description In this role, you have the opportunity to Turn advanced analytics, machine-learning models and GenAI capabilities into simple, scalable and usable People Analytics products. You will be responsible for developing lightweight internal applications, APIs, deployment workflows and monitoring solutions that allow the People Analytics team to take products from development into production. Your work will help ensure that People Analytics solutions are not limited to notebooks or proofs of concept, but can be securely deployed, adopted, supported and improved over time. You are responsible for Developing lightweight, scalable internal applications for People Analytics use cases. Building conversational interfaces, analytical applications and decision-support tools. Developing APIs that connect user interfaces with data, machine-learning models and GenAI services. Integrating applications with enterprise authentication and role-based access controls. Implementing application logging, error handling and user-feedback mechanisms. Packaging analytical and AI solutions for deployment into IT-managed environments. Building and maintaining product-specific CI/CD pipelines in line with enterprise standards. Automating code testing, application testing and deployment activities. Managing application configurations across development, test and production environments. Working with IT to provision and configure required cloud and platform services. Supporting deployment, release management, rollback and recovery activities. Operationalising batch and real-time model inference. Supporting model-serving and GenAI-service integration. Implementing monitoring for application availability, performance, latency, usage and errors. Supporting the monitoring of model and GenAI components in collaboration with the Applied AI and ML Engineer. Creating reusable application templates and common technical components. Standardising authentication, API, logging, monitoring and feedback patterns across People Analytics products. Providing business-hours technical support for deployed applications. Diagnosing application, integration and deployment issues. Coordinating infrastructure-related incidents with IT teams. Maintaining technical documentation, support runbooks and release records. Contributing to ongoing enhancements and product improvements after launch. You are a part of The central People Analytics team within the People Intelligence organisation. The team builds predictive, prescriptive and AI-enabled products for People Business Partners, business leaders and People-function Centres of Expertise across Philips. You will work closely with: The People Analytics Lead Data Scientists People Data Engineers Applied AI and Machine Learning Engineers People Intelligence Analytics Partners Enterprise IT, cloud, platform and security teams To succeed in this role, you will need A bachelor’s or master’s degree in computer science, software engineering, information technology, engineering or a related field. Relevant professional experience in software engineering, analytics application development, DevOps, MLOps or a related domain. Strong Python software-engineering skills. Experience developing REST APIs using FastAPI, Flask or equivalent frameworks. Experience developing internal applications using Streamlit, Dash or similar frameworks. Experience with automated testing and code-quality practices. Experience with Git and modern version-control workflows. Experience configuring and using CI/CD pipelines. Understanding of containerisation and cloud-deployment concepts. Experience integrating applications with authentication and role-based access controls. Experience implementing logging, monitoring and alerting. Familiarity with Databricks and cloud-based data or AI services. Experience troubleshooting applications in production or controlled enterprise