Minimum Qualifications
· 1–3 years professional experience (internships, co-ops, capstones count) in data/analytics engineering, ML/AI applications, or related fields.
· Solid Python scripting skills (e.g., data model build using common libraries, API calls) and strong SQL
· Exposure to AI agents/LLM apps through coursework, internships, hackathons, or personal projects
· Familiarity with Snowflake or Snowflake (or similar BI/cloud data platforms).
· Understanding of APIs/JSON/YAML, data structures, and software fundamentals.
· Growth mindset, attention to detail, and ability to learn from feedback and iterate quickly.
Nice to Have (Bonus)
· Experience supporting Sales analytics or familiarity with sales concepts (pipeline, bookings, opportunities) and CRM tools.
· Knowledge of semantic modeling (Snowflake, Power BI models, basic DAX) and techniques for LLM-friendly data restructuring.
· Basic cloud familiarity (Azure/AWS/GCP) and workflow tools (e.g., schedulers/orchestrators).
· Comfort explaining technical topics to non-technical partners and writing concise user docs.
· If you have an experience of building a prototype of an AI agentic model, we would like to see a demo.