AI Engineer building and scaling internal AI solutions and workflows for LUXASIA. Collaborating with cross-functional teams to leverage AI in business decision making.
Responsibilities
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
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
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
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
Requirements
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
Benefits
With LUXASIA, an exciting career filled with robust professional growth awaits you. Isn’t that beautiful?
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