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?
AI Engineer leading the design, development, and deployment of AI solutions for Citi's Banking Technology. Collaborating across teams to drive business value in banking AI initiatives.
AI Engineer - Consultant at pmOne AG developing AI solutions and assisting clients in integrating them. Working on both On - Prem and Cloud solutions to enhance business processes and value.
AI Developer at Data - Core Systems, Inc. designing AI solutions for customer contact centers using Dynamics technology. Collaborate with SMEs on innovative implementations in AI and ML.
Applied AI Engineer responsible for enhancing AI tools in Rive’s editor for designers and developers. Collaborating across design and code to drive innovation in interactive experiences.
Gen AI Tech Lead implementing enterprise - grade conversational AI applications using NodeJS, Python, and Azure technologies. Leading development and integration of AI technologies for natural language capabilities.
Gen - AI Developer creating and assessing architecture for CQUniversity’s digital systems. Supporting innovation through GenAI proof - of - concepts and applications development.
Azure Data & AI Engineer working closely with clients to create sustainable technical solutions. Designing modern data platforms in Azure and contributing to data accessibility and usability.
AI Architect designing and implementing scalable platforms for GenAI use cases at BMW TechWorks Romania. Leading engineering teams and ensuring operational stability of production components.
Software Engineer focused on AI infrastructure for developing agentic products. Collaborating with teams to build advanced AI solutions for the legal industry.
AI Engineer developing AI - driven products to support underwriting and risk management at Swiss Re. Join a diverse team and enhance your expertise while solving complex risk challenges in reinsurance.