Senior Fullstack - Gen AI & Data Engineer

The core requirements for the job include the following:

Programming, APIs and Frontend:

• Strong Python skills, including async programming, typing and pytest, plus TypeScript and modern React (hooks, state management and component design).
• Hands-on experience with FastAPI, REST and streaming APIs (SSE / WebSocket), Pydantic, Entra ID / OAuth2 authentication and API security.
• Ability to build responsive, accessible user interfaces, including chat and streaming experiences.

Generative AI and RAG:

• Practical knowledge of embeddings, chunking strategies, hybrid search, reranking, prompt engineering and tool/function calling.
• Experience with RAG evaluation and LLM guardrails, including groundedness, content safety and PII handling.

Azure:

• Experience with Azure Static Web Apps, App Service / Web Apps, Azure Functions, Cosmos DB, Azure AI Search and Azure OpenAI.
• Working knowledge of Key Vault, Managed Identity and Application Insights.

Databricks:

• Experience with Databricks Apps, Genie, Delta tables, Jobs and Pipelines (Lakeflow), Vector Search / AI Search and LLM serving (Foundation Model APIs).
• Understanding of Unity Catalogue for data governance and access control.

Data Engineering:

• Strong PySpark and SQL skills; practical experience with Delta Lake, medallion architecture, ETL / ELT, incremental processing and streaming loads.
• Knowledge of data quality checks, pipeline monitoring and Spark performance tuning.

Skills

Databricks, Generative AI, Python, React, Azure, ETL, FastAPI, PySpark, RAG