- 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.

📌 AI Specialist - Conversational AI (Bengaluru)
🏢 Holiday Inn Club Vacations
📍 Bengaluru