AI Specialist - Conversational AI

• Develop and maintain a multi-agent system with specialized agents that collaborate through a state-machine-drivenbooking workflow.
• Build production-grade prompt engineering systems versioned, modular prompts with step-by-step agentinstructions, tool references, and cross-agent handoff logic.
• Develop secure and scalable REST APIs using FastAPI (Python), including streaming responses (SSE), WebSocket &WebRTC handlers, and middleware for session validation and rate limiting.
• Implement AI safety and guardrails input/output guardrails for PII detection, jailbreak prevention, discount policyenforcement, and voucher compliance using pattern-matching and LLM-based approaches.
• Build and maintain the frontend using TypeScript supporting both text chat and voice chat interfaces.
• Design and manage database layers MongoDB, Redis, and SQL Server.
• Implement LLM observability using Datadog, Azure Application Insights.
• Build and maintain CI/CD pipelines using Azure DevOps PR pipelines, CD pipelines, QA and Production deploymentpipelines with automated unit testing, code quality checks, and LLM evaluation stages.
• Collaborate with cloud architects, QA, and product stakeholders to translate business requirements into AI-drivenexperiences.Role & responsibilities
• Design and implement AI-powered agents using OpenAI models (GPT-4o, GPT-realtime-audio, etc.) and the OpenAIAgents SDK, including multi-agent orchestration with handoff patterns

Preferred candidate profile

• Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert).
• Experience with MLOps model evaluation pipelines, LLM evaluation frameworks, experiment tracking.
• Experience with OpenAI Realtime API WebRTC-based voice interactions, real-time speech-to-text and text-to-speech.
• Knowledge of Azure Kubernetes Service (AKS), Azure Functions, or serverless deployment patterns.
• Experience with pre-commit hooks, code quality automation (Ruff, MyPy, ESLint, Prettier), and Git-based workflowenforcement.
• Familiarity with Agile/Scrum methodologies and Azure DevOps Boards for project management.
• Contributions to open-source AI/ML projects or technical blogs is a bonus.