AI Engineer - Agentic AI & Automation

LUXASIA; Delhi; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

LUXASIA in Delhi is seeking a driven Business Analyst to join the Data & Analytics function. You will help unlock insights from transaction, marketing, traffic and operational data to guide strategic decisions across the business.

You will partner closely with marketing, operations, finance and tech to turn data into impact, shape AI features, telemetry and workflows, and enable internal AI initiatives across the organisation.

Qualifications

• 2–5 years in software or ML engineering with at least 1–2 years of hands‑on production experience building LLM-based or agentic AI systems.
• Experience shipping AI features to real end users is essential. Background in e-commerce, retail, or marketing technology is a strong plus.
• Must-Have Skills: LLM Application Development, Agentic / Multi-step AI Workflows, LangChain / AutoGen or equivalent, Prompt Engineering, Python, REST API Integration, RAG (Retrieval Augmented Generation), AI Telemetry & Monitoring
• Nice to have Skills: Azure OpenAI Service, Voice / Speech-to-Text, Image Generation, APIs Natural Language to SQL, LLM Evaluation Frameworks, E-commerce or Retail Domain, Marketing Analytics, Legal AI Platforms

Responsibilities

• Build, ship, and scale an internal AI assistant from beta to production — including usage tracking and improvements based on real user behavior.
• Develop AI features: conversational memory, chat history, internet search integration, voice input, image generation, and natural language data querying.
• Instrument AI products with telemetry and analytics to track adoption and prioritise improvements.
• Maintain high standards of reliability, response quality, and user experience across all AI products in production.
• Design and build multi-step agentic AI workflows that automate commercial operations — task tracking, pricing analysis, campaign monitoring, and marketing spend optimization.
• Build human-in-the-loop interfaces for reviewing AI-generated recommendations before action.
• Develop automated alert and routing systems that surface AI-driven insights to stakeholders.
• Integrate AI agents with internal data platforms, ERP, CRM, and third-party APIs for data access.

Skills

LLM Application Development

Agentic / Multi-step AI Workflows

LangChain / AutoGen or equivalent

Prompt Engineering

Python

REST API Integration

RAG (Retrieval Augmented Generation)

AI Telemetry & Monitoring

Azure OpenAI Service

Voice / Speech-to-Text

Image Generation

APIs Natural Language to SQL

LLM Evaluation Frameworks

E-commerce or Retail Domain

Marketing Analytics

Legal AI Platforms

Tools

LangChain

AutoGen

REST API

Azure OpenAI Service

Job description

Description

LUXASIA is the leading and largest beauty omnichannel brand-builder of Asia Pacific. Since 1986, it has successfully enabled market entry and brand growth for more than 100 luxury beauty brands, the likes of Albion, Aveda, Bvlgari, Calvin Klein, Creed, Diptyque, Hermes, La Prairie, Maison Francis Kurkdjian, Montblanc, Paco Rabanne, Salvatore Ferragamo, and SK-II. LUXASIA has established Joint Ventures with the likes of LVMH Group, Revlon (for Elizabeth Arden), Puig, Shiseido, and Orveon (for Laura Mercier). The Group’s integrated brand-building capabilities include luxury retail, online commerce, consumer marketing & analytics, and supply chain management. LUXASIA is powered by a diverse and dynamic #OneTeam of 2700 talents across a growing footprint of 15 markets.

About The Role

We are seeking a driven Business Analyst to join our Data & Analytics function. You will help unlock insights from our transaction, marketing, traffic, and operational data to guide strategic and tactical decisions across the business. As a key team member, you will partner closely with stakeholders in marketing, operations, finance, and tech to turn data into business impact.

Key Responsibilities

AI Product Development & Rollout

• Build, ship, and scale an internal AI assistant from limited beta to full organizational deployment — including usage tracking, feature development, and continuous improvement based on real user behavior
• Develop and produce key AI features: conversational memory and chat history, internet search integration, voice input, image generation, and natural language data querying
• Instrument AI products with telemetry and analytics to track adoption, identify drop-off points, and prioritize improvements based on evidence
• Maintain high standards of reliability, response quality, and user experience across all AI products in production

Agentic AI & Workflow Automation

• Design and build multi-step agentic AI workflows that automate commercial operations — task tracking, competitive pricing analysis, campaign performance monitoring, and marketing spend optimization
• Build human-in-the-loop interfaces that allow business users to review, approve, or override AI-generated recommendations before action is taken
• Develop automated alert and routing systems that surface AI-driven insights to the right stakeholders at the right time
• Integrate AI agents with internal data platforms, ERP systems, CRM tools, and third-party APIs to ensure agents have access to the data they need

AI Evaluation & Platform Research

• Evaluate emerging AI platforms and tools against specific business use cases — producing structured assessments and recommendations for leadership
• Define prompt engineering standards, system prompt versioning, and model evaluation frameworks across all AI products
• Implement guardrails, fallback handling, and monitoring for all production AI agents to ensure safe and reliable operation
• Stay current on the AI landscape and actively bring relevant ideas and tools to the team’s attention

Internal AI Enablement

• Contribute to internal AI training programmes — helping non-technical teams understand and adopt AI tools effectively
• Run workshops and knowledge-sharing sessions to build AI literacy across the organisation
• Document AI systems clearly so that the broader engineering team can maintain and extend them

Qualifications & Skills

• 2–5 years in software or ML engineering with at least 1–2 years of hands‑on production experience building LLM-based or agentic AI systems.
• Experience shipping AI features to real end users is essential. Background in e-commerce, retail, or marketing technology is a strong plus.
• Must-Have Skills: LLM Application Development, Agentic / Multi-step AI Workflows, LangChain / AutoGen or equivalent, Prompt Engineering, Python, REST API Integration, RAG (Retrieval Augmented Generation), AI Telemetry & Monitoring
• Nice to have Skills: Azure OpenAI Service, Voice / Speech-to-Text, Image Generation, APIs Natural Language to SQL, LLM Evaluation Frameworks, E-commerce or Retail Domain, Marketing Analytics, Legal AI Platforms

Why Join Us?

At LUXASIA, we believe there is beauty within every talent – that is you.

We grow you by building your competencies and unleashing your potential. We have curated a vast portfolio of over 100 luxury brands across Asia Pacific, and growing. Your work will enrich the lives of millions of consumers across the region. With us, you get to be an entrepreneur, running the business like it is your very own. We give you but not without guidance and genuine care. We are a diverse and inclusive team that is courageously innovative. Together as #OneTeam, we celebrate differences, embrace change, explore new ideas, take risks, fail fast, and drive results. While challenges at work are inevitable, the journey promises to be fulfilling.

With LUXASIA, an exciting career filled with robust professional growth awaits you. Isn’t that beautiful?