Apply Databricks and RAG expertise to enterprise software as a hands-on developer supporting LLM-based solutions in Agile delivery.

Our client is seeking a Software Engineer who builds practical enterprise applications with Large Language Models. Candidates should bring 5+ years of Software Engineering experience, robust Python expertise, and production Databricks experience. The work includes RAG architectures, orchestration frameworks, backend applications, APIs, and system integrations.

Key Responsibilities:

- Build or support solutions based on Large Language Models
- Develop backend applications and system integrations
- Work with Databricks in production environments
- Apply Retrieval-Augmented Generation architectures hands-on
- Deliver features through sprint-based Agile models

Requirements:

- 5+ years of Software Engineering experience
- Strong Python development expertise
- Experience with LangChain or similar frameworks
- Strong understanding of APIs and backend development
- Ability to manage multiple concurrent workstreams

Use Databricks, Python, RAG, and backend engineering skills to support enterprise LLM application delivery.

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📌 Databricks RAG Software Developer (Toronto)
🏢 Insight Global
📍 Toronto