Senior AI Developer

Tasks

• Build and integrate AI agents
• Coordinate UAT and production go live
• Define AI agent technical architecture
• Deliver code model artifacts and documentation handover
• Demonstrate agents to business stakeholders
• Develop RAG and vector retrieval
• Drive agent through testing and release gates
• Implement agent orchestration and routing
• Integrate enterprise systems via APIs
• Lead and mentor offshore developers
• Monitor adoption KPIs
• Perform prompt engineering and output validation
• Provide post deployment warranty support
• Select Azure services and agent patterns
• Set coding standards and run code reviews
• Support functional performance and integration testing

Perks/Benefits

• Onshore Offshore Collaboration
• Post deployment warranty support
• Remote work support

Skills/Tech-stack

AI Foundry | AI Search | AKS | API Management | Agent Orchestration | Azure AI | Azure AI Foundry | Azure AI Search | Azure Blob | Azure Blob Storage | Azure Container | Azure Container Instances | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Event | Azure Event Bus | Azure Key Vault | Azure Machine Learning | Azure OpenAI | Blob Storage | CI/CD | Container Instances | Cosmos DB | Data Lake Storage | ERP Fusion | Event Bus | Human-in-the-loop | Injection Defense | Key Vault | LLM routing | Logic Apps | MFA | Machine Learning | OAuth | OWASP | Oracle ERP | Oracle ERP Fusion | Output Validation | PII scrubbing | Private Endpoints | Prompt engineering | Prompt injection | Prompt injection defense | Python | RAG | RBAC | Redis | SQL | SharePoint | TLS 1.3 | The Loop | Vector Databases | Vector Retrieval