Senior AI Engineer (Supply Chain & Retail AI)

RecruitPedia Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RecruitPedia Pte Ltd is seeking a Senior AI Engineer to design, develop, and deploy scalable AI solutions for supply chain and retail challenges. You will blend AI/ML engineering with robust software development and deployment to deliver production-ready systems.

The role focuses on predictive and optimization-based AI, such as demand forecasting, inventory optimization, and replenishment planning, away from pure Generative AI or NLP tasks.

Qualifications

• Experience designing production AI/ML systems for scalable deployment.
• Hands-on cloud/on-prem deployment using Docker and Kubernetes.
• Experience deploying ML models to production environments.
• Strong software architecture and microservices background.
• Bachelor's/Master's in CS/AI/OR.

Responsibilities

• Design and deploy scalable AI-powered production systems.
• Improve software architecture and implement CI/CD workflows.
• Mentor engineers and ensure code quality and performance.
• Translate business needs into reusable software components.

Skills

Python

Docker

Kubernetes

CI/CD

MLOps

APIs

MySQL

PostgreSQL

MongoDB

PyTest

Distributed systems

Terraform

Education

Bachelor's CS/AI/OR

Tools

Airflow

Prefect

Ray

Terraform

CI/CD pipelines

Job description

About the Role

We are seeking a Senior AI Engineer to design, develop, and deploy scalable AI solutions that address complex supply chain and retail challenges. This role combines AI/ML engineering with strong software development and deployment expertise, enabling the successful delivery of production-ready solutions. You will play a key role in shaping technical architecture, driving engineering best practices, and mentoring team members within a high-performing engineering environment.

Important: This position focuses on predictive and optimization-based AI applications, such as demand forecasting, inventory optimization, replenishment planning, and supply chain analytics. It is best suited for engineers experienced in traditional AI/ML solutions rather than those whose primary expertise lies in ChatGPT, LLMs, NLP, RAG, chatbots, or Generative AI applications.

Key Responsibilities

• Design, develop, and maintain modular, scalable, and production-ready applications deployable across cloud platforms (AWS, GCP, Azure) and on-premises environments.
• Enhance and re-architect existing systems to transform complex business and retail requirements into reusable, scalable software components.
• Build and deploy AI-powered solutions that integrate machine learning models into robust business applications.
• Establish and improve software engineering, MLOps, and DevOps practices, including CI/CD workflows, architecture standards, testing frameworks, and deployment processes.
• Conduct code reviews, provide technical mentorship, and promote engineering excellence across the team.
• Ensure solutions meet high standards of performance, security, reliability, and maintainability.

Requirements

• Minimum 4 years of experience in AI/ML Engineering or Software Engineering, with a strong track record of building and deploying production systems.
• Hands‑on experience deploying applications in cloud and on‑premise environments using technologies such as Docker, Kubernetes, and CI/CD pipelines.
• Experience deploying machine learning models into production environments.
• Familiarity with orchestration and workflow tools such as Airflow, Prefect, or Ray is advantageous.
• Experience implementing Infrastructure-as-Code (IaC) on at least one major cloud platform.
• Strong background in software architecture, microservices, API development, and distributed systems design.
• Proficiency in Python and related technologies, including:
• SQL databases (MySQL, PostgreSQL)
• NoSQL databases (MongoDB or equivalent)
• Testing frameworks such as PyTest
• Prior experience in demand forecasting, inventory optimization, supply chain analytics, retail AI, or operations research will be highly preferred.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Operations Research, or a related discipline.

Ideal Candidate Profile

• This opportunity is ideal for an AI/ML Engineer who has built forecasting, predictive analytics, optimization, and supply-chain-focused machine learning solutions, with strong software engineering and deployment capabilities.
• Candidates whose experience is primarily centered on Generative AI, ChatGPT, LLMs, NLP, prompt engineering, or chatbot development may find the role less aligned with their core expertise.

What We Offer

• Opportunity to own and shape a high-impact AI product from the ground up.
• Collaborative, innovation-driven engineering culture that values technical excellence, ownership, and continuous improvement.
• Exposure to challenging real-world AI problems within the supply chain and retail domain.
• Competitive remuneration and career growth opportunities.