AI Engineer

Tap Growth ai; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Tap Growth ai in Singapore is seeking an AI Engineer to design and deploy AI/ML solutions for retail, including backend systems and data analytics platforms.

You will lead technical teams, collaborate with stakeholders, and translate complex AI models into tangible business outcomes such as personalization, product descriptions, and customer insights.

Qualifications

• 2+ years in a similar role with AI/ML architecture focus
• 2+ years leading technical/software engineering teams or managing complex tech projects
• 2+ years hands-on developing AI/ML solutions including generative AI, with 2+ years in retail/e-commerce/FMCG
• 2+ years large-scale backend system development experience
• Degree in CS/IT/Programming & System Analysis/Computer Studies; Agile cert a plus
• Business Central/Tableau/Microsoft Fabric/Salesforce certs are a plus
• Proficiency in Python or R; cloud data platforms (AWS, Azure, GCP)
• Deep ML/Deep Learning/NLP/Computer Vision skills applied to retail
• Generative AI apps in retail (description generation, virtual try-ons, personalized emails)
• SQL and database design; relational and non-relational databases
• Familiarity with POS/ERP/CRM retail data structures
• Strong commercial acumen linking AI metrics to KPIs; ability to explain complex AI models to stakeholders
• Available for weekend/off-hours on-site support and 24/7 call support

Responsibilities

• Omni-channel personalization engines, conversational AI for customer service, in-store layout optimization, customer behaviour tracking; solution architecture, feature development, API integration

Skills

AI/ML architecture

Team leadership

AI/ML development

Backend development

Python

R

Retail domain

Data storytelling

SQL

APIs (REST/SOAP)

NLP/Computer Vision

Education

Bachelor's degree in Computer Science/IT/related

Tools

Tableau

Microsoft Fabric

Business Central

Salesforce

Job description

We are seeking a passionate and dedicated AI Engineer to join our team.

Experience: We are looking for candidates with at least 2 years of experience in relevant fields.

Work Mode: Work from Office

JD:

Hours:

5-day week, 0830–1730 Mon–Fri (40 hrs/week); on-call/weekend availability required for on-site support and 24/7 call support

Key JD requirements:

• 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
• Business Central, Tableau, Microsoft Fabric, or Salesforce certification 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

Scope of work:

• 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