Senior AI Engineer (Pro Code)

Envision Technology Solutions is seeking a Senior AI Engineer (Pro Code) to design, build, and scale enterprise-grade AI applications. The role involves developing secure, reliable, and observable AI systems that integrate with various business tools and deploying production services on Azure.

Responsibilities:

• Build AI-enabled backend services using C# (.NET 6/7/8) with strong API design, async patterns, resilience, and secure coding practices
• Develop and productionize LLM applications using Azure AI Foundry (prompting, evaluation, telemetry, monitoring, and Responsible AI)
• Implement RAG and Semantic Search systems:
• Embeddings, chunking, metadata design, vector + keyword hybrid search, semantic ranking
• Grounded responses with citations; hallucination reduction techniques
• Integrate with Azure AI Search and/or other vector databases
• Develop and maintain MCP servers for tool-based LLM integration:
• Create tool schemas, manage connectors, enforce authentication/authorization
• Secure integrations with enterprise APIs
• Operate with versioning, monitoring, reliability, and scalable deployments
• Design LLM orchestration workflows:
• Single-agent and multi-agent patterns
• Tool/function calling, structured outputs, prompt templates
• Retries, fallbacks, human-in-the-loop review, caching/token optimization
• Evaluation pipelines and regression testing for prompts/models
• Deploy and run services on Azure App Services (Web Apps/API Apps):
• Networking, authentication, performance, scaling, and observability
• Instrumentation via Azure Monitor / Application Insights
• Collaborate with product, security, and platform teams to ensure compliance, privacy, and Responsible AI implementation

Requirements:

• Design, build, and scale enterprise-grade AI applications using .NET (Backend development)
• Develop secure, reliable, and observable AI systems that integrate with business tools (CRM, ticketing, mailbox, and internal platforms)
• Deploy production services on Azure App Services with modern CI/CD practices
• Build AI-enabled backend services using C# (.NET 6/7/8) with strong API design, async patterns, resilience, and secure coding practices
• Develop and productionize LLM applications using Azure AI Foundry (prompting, evaluation, telemetry, monitoring, and Responsible AI)
• Implement RAG and Semantic Search systems including embeddings, chunking, metadata design, vector + keyword hybrid search, semantic ranking
• Grounded responses with citations; hallucination reduction techniques
• Integrate with Azure AI Search and/or other vector databases
• Develop and maintain MCP servers for tool-based LLM integration including creating tool schemas, managing connectors, enforcing authentication/authorization
• Secure integrations with enterprise APIs
• Operate with versioning, monitoring, reliability, and scalable deployments
• Design LLM orchestration workflows including single-agent and multi-agent patterns, tool/function calling, structured outputs, prompt templates
• Implement retries, fallbacks, human-in-the-loop review, caching/token optimization
• Create evaluation pipelines and regression testing for prompts/models
• Deploy and run services on Azure App Services (Web Apps/API Apps) including networking, authentication, performance, scaling, and observability
• Instrumentation via Azure Monitor / Application Insights
• Collaborate with product, security, and platform teams to ensure compliance, privacy, and Responsible AI implementation