Artificial Intelligence Engineer (Night Shift)

Holiday Inn Club Vacations; Bengaluru; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Holiday Inn Club Vacations in Bengaluru seeks an AI Specialist to design, build, and scale AI-driven applications using Azure OpenAI and OpenAI APIs in production. Strong Python backend, FastAPI, and cloud architecture on Microsoft Azure are essential.

You will implement agents, multi-agent workflows, secure APIs, and guardrails, while collaborating with cloud, QA, and product teams to deliver customer-facing AI experiences.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 3+ years of AI/ML engineering experience, with 2+ years on Gen-AI (Azure OpenAI or similar) or LLMS.
• Strong Python programming skills with type annotations and modern tooling (uvicorn, Ruff, MyPy).

Responsibilities

• Design and implement AI-powered agents using OpenAI models and the OpenAI Agents SDK, including multi-agent orchestration.
• Develop and maintain a multi-agent system with specialized agents that collaborate through a state-machine-driven booking workflow.
• Build production-grade prompt engineering systems with versioned, modular prompts and tool references.
• Develop secure and scalable REST APIs using FastAPI (Python), including streaming responses (SSE) and WebSocket/WebRTC handlers.
• Implement AI safety and guardrails for PII detection, jailbreak prevention, policy compliance, and voucher enforcement.
• Build and maintain the frontend using TypeScript supporting text and voice chat interfaces.
• Design and manage database layers (MongoDB, Redis, SQL Server).
• Build and maintain CI/CD pipelines using Azure DevOps with automated testing and quality checks.
• Collaborate with cloud architects, QA, and product stakeholders to translate requirements into AI experiences.
• Provide technical mentoring and maintain coding standards.

Skills

AI Specialist

Python

Azure

LLMs

Multi-agent systems

Conversational AI

Prompt engineering

FastAPI

TypeScript

Docker

Education

Bachelor's or Master's in CS/AI/DS

Tools

OpenAI API

OpenAI Agents SDK

MongoDB

Redis

SQL Server

Docker Compose

Azure DevOps

Pydantic

WebRTC

Job description

We are looking for a AI Specialist with hands-on experience building and deploying production AI applications using Azure OpenAI Services and the OpenAI ecosystem. The ideal candidate has deep expertise in generative AI, large language models (LLMs), multi-agent architectures, and conversational AI — with a strong background in Python backend development and cloud-based architecture on Microsoft Azure. You will be responsible for designing, developing, and scaling AI-driven applications that leverage Azure OpenAI and OpenAI APIs to solve complex business problems in a real-world, customer-facing production environment.

Models (LLMs), multi-agent architectures, and conversational AI — with a strong background in Python backend development and cloud-based architecture on Microsoft Azure. You will be responsible for designing, developing, and scaling AI-driven applications that leverage Azure OpenAI and OpenAI APIs to solve complex business problems in a real-world, customer-facing production environment.

ESSENTIAL DUTIES AND TASKS

• Design and implement AI-powered agents using OpenAI models (GPT-4o, GPT-real time-audio, etc.) and the OpenAI Agents SDK, including multi-agent orchestration with handoff patterns.
• Develop and maintain a multi-agent system with specialized agents that collaborate through a state-machine-driven booking workflow.
• Build production-grade prompt engineering systems — versioned, modular prompts with step-by-step agent instructions, 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 policy enforcement, 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.
• Build and maintain CI/CD pipelines using Azure DevOps — PR pipelines, CD pipelines, QA and Production deployment pipelines 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-driven experiences.
• Provide technical mentoring and code review guidance to team members, maintaining comprehensive documentation and coding standards.
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 3+ years of experience in AI/ML engineering, with 2+ years focused on Gen-AI (Azure OpenAI, OpenAI APIs) or similar LLM platforms.
• Strong programming skills in Python with type annotations, and experience with FastAPI, Pydantic, async/await patterns, and modern Python tooling (UV, Ruff, MyPy).
• Hands-on experience with the OpenAI Agents SDK or similar agent frameworks — multi-agent orchestration, tool calling, function tools, agent handoffs, and guardrails.
• Production experience building conversational AI / chatbot applications with real-world usage in NLP, booking flows, or customer-facing domains.
• Experience with MongoDB, Redis, and SQL Server for database operations in production applications.
• Experience building and deploying containerized applications using Docker and Docker Compose.
• Deep understanding of AI safety and responsible AI — input/output guardrails, PII detection/redaction, jail break prevention, and policy compliance enforcement.
• Strong experience with prompt engineering — versioned prompts, multi-step instructions, few-shot examples, tool description optimization, and cross-agent prompt coordination.
• Experience with LLM observability and monitoring — Datadog, tracing, span creation, token usage tracking, and structured logging.
• Strong analytical, problem-solving, and debugging skills with a focus on code quality, test coverage, and production reliability.

PREFERRED QUALIFICATIONS

• 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.