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LUXASIA

Luxury beauty brand-building and omnichannel solutions

AI Engineer - Agentic AI & Automation

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeDelhi, IndiaNo salary listedHybrid

About the Job

Requirements

  • 2–5 years of experience in software or machine learning engineering, including at least 1–2 years of hands-on production experience building large language model-based or agentic AI systems.
  • Experience shipping AI features to real end users is essential.
  • Required skills include large language model application development, agentic or multi-step AI workflows, LangChain, AutoGen or an equivalent tool, prompt engineering, Python, REST API integration, retrieval-augmented generation, and AI telemetry and monitoring.

Responsibilities

  • Build, ship, and scale an internal AI assistant from limited beta through full organizational deployment, including usage tracking, feature development, and continuous improvement based on user behavior.
  • Develop conversational memory and chat history, internet search integration, voice input, image generation, and natural-language data querying features.
  • Instrument AI products with telemetry and analytics to track adoption, identify drop-off points, and prioritize evidence-based improvements.
  • Maintain reliability, response quality, and user experience across production AI products.
  • Design and build multi-step agentic AI workflows to automate commercial operations, including task tracking, competitive pricing analysis, campaign performance monitoring, and marketing spend optimization.
  • Build human-in-the-loop interfaces that let business users review, approve, or override AI-generated recommendations before action is taken.
  • Develop automated alert and routing systems to surface AI-driven insights to relevant stakeholders at the right time.
  • Integrate AI agents with internal data platforms, ERP systems, CRM tools, and third-party APIs.
  • Evaluate emerging AI platforms and tools against business use cases and produce structured assessments and recommendations for leadership.
  • Define prompt engineering standards, system prompt versioning, and model evaluation frameworks across AI products.
  • Implement guardrails, fallback handling, and monitoring for production AI agents.
  • Stay current with AI developments and bring relevant ideas and tools to the team.
  • Contribute to internal AI training programmes to help non-technical teams understand and adopt AI tools.
  • Run workshops and knowledge-sharing sessions to build AI literacy across the organization.
  • Document AI systems so the broader engineering team can maintain and extend them.

Desired Qualifications

  • Experience in e-commerce, retail, or marketing technology.
  • Azure OpenAI Service, voice or speech-to-text, image generation, APIs, natural language to SQL, large language model evaluation frameworks, e-commerce or retail domain knowledge, marketing analytics, and legal AI platforms.

About the Company

LUXASIA

Luxury beauty brand-building and omnichannel solutions

LUXASIA operates as an omnichannel beauty brand-builder in Asia Pacific. It helps luxury beauty brands enter markets and grow by delivering integrated services across luxury retail, online commerce, consumer marketing and analytics, and supply chain management. The company works with a broad portfolio of over 100 brands and has joint ventures with major players like LVMH, Revlon, Puig, Shiseido, and Orveon to extend its reach. Its platform combines on-the-ground retail presence with digital channels and data-driven marketing to manage every step of a brand’s growth in the region. LUXASIA differentiates itself through its scale (15 markets and 2700 employees), deep regional expertise, and a full-suite, end-to-end service offering under one roof. The company's goal is to help luxury brands successfully enter Asia Pacific and expand their market presence, while providing opportunities for its people to grow and contribute as part of a collaborative team.

Company size
501-1,000
Company stage
Not listed
Total funding
$6.9M
Headquarters
Singapore, Singapore
Founded
1986

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