AI Engineer & Tech Lead - Retail & Generative AI

RAPSYS TECHNOLOGIES PTE LTD

Singapore

On-site

SGD 90,000 - 130,000

Full time

13 hours ago

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Job summary

RAPSYS TECHNOLOGIES PTE LTD in Singapore is seeking an AI Engineer to join our team, focusing on AI/ML solution architectures, generative AI, and retail analytics. The role requires 2+ years in related fields and hands-on experience with AI technologies.

You will lead technical projects and collaborate with cross-functional teams, delivering end-to-end AI solutions for retail, e-commerce, or FMCG. On-site 5-day work week with weekend/on-call support as required.

Qualifications

Minimum 2 years in a similar role, with broad functional expertise (preferably retail) and technical expertise in AI/ML solution architecture.
2+ years leading technical/software engineering teams or managing complex tech projects
2+ years hands-on developing AI/ML solutions and generative AI technologies/frameworks, with at least 2 years specifically in retail, e-commerce, or FMCG
2+ years large-scale backend system development experience
Degree in Computer Science, IT, Programming & System Analysis, Computer Studies, or related discipline; Agile certification a plus
Certification in Business Central, Tableau, Microsoft Fabric, or Salesforce an advantage
Proficiency in Python or R; cloud data platforms (AWS, Azure, or GCP)
Deep ML/Deep Learning/NLP/Computer Vision knowledge applied to retail (e.g. image search, sentiment analysis)
Generative AI applications in retail (product description generation, virtual try-ons, personalized email copy)
SQL and database schema design — relational and non-relational
Familiarity with retail data structures — POS, ERP, CRM systems
Strong commercial acumen tying AI metrics to retail KPIs (e.g. conversion rate); strong storytelling/communication to explain complex AI models to technical and non-technical stakeholders
Available for weekend/off-hours on-site support and 24/7 call support

Responsibilities

Omni-channel customer experience & personalization — AI-driven personalization engines, conversational AI for customer service, in-store layout optimization, customer behaviour tracking; solution architecture, feature development, technical support; customization incl. code structure, extension architecture, theming, caching, API integration (REST/SOAP)
AI systems architecture — design/execute end-to-end platforms for advanced analytics and enterprise AI; align AI solutions with technology architecture and business strategy; strategic input on generative AI, LLMs, and ML frameworks
Leadership & strategy — direct AI project management, solution delivery, vendor/supplier/contractor and internal IT workforce management; evaluate and negotiate with third-party AI vendors and SaaS platforms
Partnership — work with internal/external stakeholders and vendor management; initiate/prioritize projects and process improvements; ensure quality and ROI; translate technical concepts for non-technical audiences
Project & risk management — ensure deliverables on track and meet/exceed expectations; enforce PM principles incl. risk management, prototyping, and PoC delivery for emerging tech
Governance & security — enforce information security policy across IT functions; periodic gap assessments; ensure AI initiatives comply with data privacy regulations
People & resource management — build a performance culture; establish resource allocation/utilization controls
Change management & service excellence — ensure solutions are tested and meet specs/timelines through deployment