Teams at Artefact (artefact.com)

Design, build, schedule, monitor, and optimize scalable data pipelines using Apache Airflow and cloud and big-data technologies. Collaborate with analysts, scientists, and engineers to ensure reliable, secure data delivery. Troubleshoot failures, maintain data architecture, document technical decisions, lead solution implementation, and mentor team members through coaching, pair programming, and design reviews.

Build and deploy full-stack AI applications, including React interfaces, Python or Node services, agentic systems, RAG pipelines, data pipelines, evaluations, and cloud infrastructure. The role requires production engineering practices, AI platform expertise, client communication, pre-sales support, and mentoring junior engineers.

Build and deploy production-grade, full-stack AI applications for clients using Gemini Enterprise and Google’s AI stack. Develop React interfaces, Python or Node.js services, agentic workflows, RAG pipelines, enterprise integrations, data pipelines, evaluations, and cloud infrastructure. Own solutions from interface through deployment, monitoring, and reliability testing. Collaborate directly with clients, support pre-sales, mentor engineers, and contribute to reusable engineering standards and accelerators.