Teams at Practiv

Design, build, and deploy production-grade AI solutions (agents, RAG, MCP servers). Analyse business processes, integrate APIs and cloud platforms, establish prompt engineering and developer standards, manage projects, and upskill client teams.

Lead design and implementation of data pipelines, data modelling and warehousing solutions. Work directly with clients to deliver end-to-end cloud data and AI solutions, mentor junior engineers, and ensure robust, maintainable implementations.

Deliver end-to-end data solutions including designing and building data pipelines, warehousing, ETL, ML/AI support and visualisations. Work with clients to define requirements, implement cloud data services (e.g., GCP, Databricks, Snowflake) and produce scalable Python/SQL/Spark code within a small team.