AI Engineer - Agentic AI & Automation job opportunity at LUXASIA.

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Date2026-03-15T03:49:45.833Z bot
LUXASIA AI Engineer - Agentic AI & Automation
Experience: 5-years
Pattern: Full-time
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loacation Delhi, India
loacation Delhi....India
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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

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