We are seeking a Data & AI Engineer to support the development of an enterprise-grade AI Assistant. The role focuses on building the data pipeline, transforming unstructured corporate documents into a searchable, intelligent knowledge base, and automating actions such as ticket creation and workflow integrations.
Requirements
- 3–4 years in Data Engineering or Software Development with a strong focus on cloud-based data processing
- Strong proficiency in Databricks and Python; comfortable working across the full data engineering lifecycle
- Hands-on experience with LLM orchestration frameworks: LangChain, LlamaIndex, or similar
- Solid understanding of the Azure ecosystem — Storage (ADLS Gen2), Identity (AAD), and Serverless (Azure Functions)
- Familiarity with modern AI coding assistants (GitHub Copilot, Cursor, OpenAI Codex) to accelerate development velocity
