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# Senior Gen AI Engineer

- **Company:** Master Compliance
- **Location:** Woodbridge Township, NJ, United States
- **Experience:** Expert
- **Salary:** $87,942.0 - $105,914.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Application Performance Management, Microsoft Azure, Continuous Integration, Python (Programming Language), Network Security, Role-Based Access Control, Search Technologies, Management of Software Versions, Prompt Engineering, Generative AI, Fastapi, Machine Learning Operations, Azure Service Fabric, Restful APIs, Key Vault, Microservices
- **Published:** June 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fc30ad9f5cb9493c

## About the Role

Do you have experience in Python?

## Description

1. Design and develop Generative AI solutions using Azure OpenAI Service, including prompt engineering, embeddings, and model orchestration for enterprise use cases.
 2. Build Retrieval-Augmented Generation (RAG) pipelines by integrating Azure AI Search, vector databases, and structured/unstructured enterprise data sources.
 3. Develop scalable APIs and microservices for GenAI applications using Python/ Fast API or Java-based services deployed on Azure PaaS
 4. Implement Responsible AI controls, including content moderation, prompt/output filtering using Azure AI Content Safety
 5. Orchestrate end-to-end GenAI workflows leveraging Azure AI Foundry/Projects, integrating tools, functions, and agent-based reasoning
6.Deploy and manage GenAI workloads on Azure using secure networking, RBAC, Key Vault, and enterprise security standards

 7. Monitor and evaluate model performance using Azure Monitor, Application Insights, and GenAI evaluation metrics
 8. Optimize prompt and model usage for performance, latency, and cost efficiency across development and production environments
 9. Collaborate with business and data teams to translate requirements into GenAI-enabled solutions aligned to enterprise governance and compliance
 10. Support CI/CD and MLOps pipelines for GenAI applications, ensuring versioning, testing, traceability, and controlled releases on Azure


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