AI Engineer

RAPSYS TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE. LTD. is seeking an AI Engineer to design and lead AI/ML solutions for retail, including architecture, deployments, and governance. The role requires hands-on development, leadership of tech teams, and close collaboration with business units.

Ideal candidates have 2+ years in AI/ML, strong Python/R skills, cloud platform experience, and knowledge of NLP/Computer Vision applied to retail. Weekend/on-site support may be required.

Qualifications

• Minimum 2 years in a similar role, with AI/ML solution architecture.
• 2+ years leading technical/software teams or managing complex tech projects
• 2+ years hands-on developing AI/ML solutions and generative AI in retail/e-commerce/FMCG
• 2+ years large-scale backend system development experience
• Degree in Computer Science/IT/Programming & System Analysis or related; Agile certification a plus
• Business Central, Tableau, Microsoft Fabric, or Salesforce certification an advantage
• Proficiency in Python or R; cloud data platforms AWS, Azure, GCP
• Deep ML/Deep Learning/NLP/Computer Vision knowledge applied to retail
• Generative AI applications in retail (product descriptions, virtual try-ons)
• SQL and database schema design - relational and non-relational
• Cloud platforms (Azure/GCP), distributed computing, Docker/Kubernetes, MLOps (MLflow, Kubeflow, Airflow)
• Familiarity with POS/ERP/CRM data structures
• Strong commercial acumen tying AI metrics to retail KPIs; storytelling to stakeholders
• Available for weekend/off-hours on-site support and 24/7 call support

Responsibilities

• Omni-channel personalization engines and AI-driven customer service
• AI systems architecture for analytics platforms and enterprise AI
• Lead AI project management, vendor/contractor management
• Collaborate with stakeholders; translate technical concepts for non-technical audiences
• Governance, security, and data privacy compliance for AI initiatives
• People and resource management; ensure quality and ROI

Skills

AI/ML architecture

Team leadership

Python

Cloud platforms

NLP

Computer Vision

ML Ops

Docker

Kubernetes

SQL

Retail domain

Storytelling

Education

Bachelors in CS/IT/related

Agile certification

Tools

Docker

Kubernetes

MLflow

Kubeflow

Airflow

Job description

Role: AI Engineer

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
• Cloud platforms (Azure/GCP), distributed computing, container orchestration (Docker, Kubernetes), MLOps tooling (MLflow, Kubeflow, Airflow)
• 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
• Other - monitor solution/project quality, contract & procurement management, IT policy development/review, audit support, ad-hoc tasks