Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics or STEM subject Minimum of 3 years in an AI/ML/Data Engineer position English fluency Communication skills (especially technical points to non-technical audience) Ability to quickly & effectively prototype Keen interest in applying AI to business problems Knowledge of applying LLMs and developing, testing and deploying agentic systems in Python Deep knowledge of Python and relevant libraries (LangChain, LangGraph, FastAPI, Pydantic) Knowledge of designing, building, testing, deploying and maintaining data pipelines using Airflow Good understanding of DevOps processes (Docker, CI/CD in GitHub actions, deploying in GCP) Good understanding of GCP (especially Cloud Composer, Cloud Run, Google App Engine) Deep knowledge of version control (GitHub)