Full stack - AI Application Engineer - People Analytics
Core
Build scalable internal AI and GenAI applications, APIs, and deployment workflows for People Analytics products.
Role type
Full-stack AI Application Engineer (MLOps/DevOps focus)
Builds
Lightweight internal applications, conversational interfaces, analytical tools, and decision-support systems for People Business Partners and leaders.
Domain
Health technology / People Analytics / Generative AI
Required skills
Python engineering, REST API development (FastAPI/Flask), internal app frameworks (Streamlit/Dash), CI/CD pipeline management, containerization, cloud deployment, authentication/authorization, logging/monitoring, automated testing, Git workflows.
Preferred skills
Azure/AWS experience, Docker/Kubernetes, MLflow/MLOps tools, GenAI/RAG integration, React, enterprise IAM, application security, sensitive data handling.
Technologies
Python, FastAPI, Flask, Streamlit, Dash, Git, Docker, Kubernetes, Azure, AWS, MLflow, React, GenAI frameworks.
Responsibilities
Develop scalable internal apps and APIs; integrate with enterprise auth and RBAC; implement logging, error handling, and monitoring; manage CI/CD pipelines and deployment workflows; operationalize batch and real-time model inference; support model-serving and GenAI integration; troubleshoot production issues; maintain technical documentation.
Seniority
Mid-Senior, hands-on IC
