We are looking for a Software Engineer with robust Python development skills and hands-on experience building and operating Retrieval-Augmented Generation (RAG) systems.

The ideal candidate will have practical experience across the RAG lifecycle, including retrieval, embeddings, and LLM-backed generation. Familiarity with Azure services, Databricks, and connector ecosystems used to integrate enterprise data sources will be highly valuable.

Key Responsibilities

- Design, develop, and maintain software solutions using Python.
- Build and operate RAG-based applications and systems.
- Develop and manage retrieval pipelines, embedding workflows, and LLM-backed generation.
- Integrate RAG solutions with enterprise data sources and applications.
- Work with Azure services, including Blob Storage and Azure Core Tools.
- Work with Databricks for data processing and engineering requirements.
- Integrate and work with connector ecosystems across platforms such as:
- Confluence
- SharePoint
- ServiceNow
- ServiceCloud
- Zendesk




- Troubleshoot and optimize RAG systems for reliability, scalability, and performance.
- Collaborate with engineering and cross-functional teams to understand requirements and deliver effective solutions.
- Follow software engineering best practices for development, testing, deployment, and maintenance.

Must-Have Skills

- Strong hands-on experience with Python.
- Hands-on experience building and operating RAG systems.
- Strong understanding of RAG components, including:
- Retrieval
- Embeddings
- LLM-backed generation
- Experience developing and integrating AI/LLM-based applications.
- Familiarity with Azure services, particularly Blob Storage and Azure Core Tools.
- Working knowledge of Databricks.
- Experience working with enterprise data connectors or integration ecosystems.
- Strong problem-solving and analytical skills.

📌 Software Engineer (Bengaluru)
🏢 Sourcebae
📍 Bengaluru