AI Application Developer – Azure Databricks, Unity Catalog, Mosaic AI

NexTurn · Remote

Source and collection record

Last observed by our collector: 8 October 2026 at 11:55 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: nexturn-ai-application-developer-azure-databricks-unity-catalog-mosaic-ai

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected minimum qualification: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Requirements: Mandatory Skills: Python (Strong), Azure Databricks, Apache Spark, Generative AI / LLM Application Development RAG (Retrieval Augmented Generation), Vector Search / Vector Databases, Mosaic AI / MLflow, Unity Catalog, FastAPI / Flask / REST API Development, Azure Cloud Services. Good to Have: Knowledge of Graph RAG / Knowledge Graphs, LangChain / LlamaIndex experience, AI Agents /, Agentic workflows, MLflow model deployment, Azure OpenAI experience, CI/CD, Docker, Kubernetes, Healthcare / Pharma domain experience. Job Description: Develop backend services and APIs for AI-based applications. Build LLM-powered applications using RAG and retrieval workflows. Design and implement AI workflows using Databricks and Mosaic AI. Develop data processing solutions using Spark and Delta Lake. Implement vector search, embeddings, and semantic search solutions. Integrate AI models with enterprise applications and external data sources. Build secure APIs, event-driven services, and scalable backend components. Implement monitoring, logging, audit tracking, and production readiness. Collaborate with Data Engineering, MLOps, QA, and Architecture teams.

Collected minimum qualification

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Collected experience requirement

4–8 Years