Senior Software Engineer - Supply Chain Systems

anchor search group pte. ltd.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Anchor Search Group Pte. Ltd. seeks a visionary lead software engineer to bridge advanced AI technology with mission-critical supply chain operations.

You will spearhead a cross-functional team of software and AI developers to architect and deploy an integrated, end-to-end intelligent supply chain ecosystem. You will design and implement AI-led solutions for inventory forecasting, procurement, and logistics, while partnering with customers to apply design thinking to business processes and

Qualifications

• Degree in Computer Science or related discipline, Operations Research, Industrial Engineering or Data Science.
• 5+ years of software engineering experience, with 3+ years in AI/ML development.
• Expert-level Python for ML modelling and backend systems.
• Proficiency in time-series forecasting (Prophet, LSTMs, Transformers) and constraint-based optimization (OR-Tools, Gurobi).
• Experience with databases/data lakes/data platforms (Databricks).
• Domain expertise in integrated supply chain (inventory forecasting, procurement, warehousing, logistics).
• Strong design-thinking and stakeholder communication.

Responsibilities

• End-to-End System Ownership - Lead the development and integration of a comprehensive AI-driven supply chain operating platform.
• Inventory Forecasting: deploy predictive models considering seasonality, trends, lead-time variability to optimize stock levels.
• Procurement Management: build automated, intelligent procurement systems for vendor selection and PO generation.
• Logistics Operations: develop optimization engines for route planning and warehouse resource allocation.
• Strategic Leadership: mentor engineers and enforce best practices in code quality and MLOps.
• Workflow Transformation: audit and redesign legacy workflows using design thinking and AI.
• Customer & Stakeholder Partnering: translate business pain points into scalable technical requirements.
• Cultural Leadership: foster a collaborative, high-performance team environment.

Skills

Python

ML development

Time-series forecasting

MLOps pipelines

Cloud (AWS/GCP/Azure)

Leadership

Stakeholder management

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

OR-Tools

Gurobi

SAP

Oracle

AWS

GCP

Azure

Job description

We are seeking a visionary lead software engineer to bridge the gap between advanced AI technology and mission-critical supply chain operations. You will spearhead our cross-functional team of software and AI application developers to architectand deploy an integrated, end-to-end intelligent supply chain ecosystem.

Your mandate is to design and implement AI-led solutions that transform how we conduct inventory forecasting demand, manage procurement, and orchestrate logistics operations. Beyond technical architecture, you will serve as a consultative leader—partnering with internal teams and customers to apply design thinking to business processes.

You will ensure that our solutions are not just high-performing, but strategically aligned to drive operational efficiency, measurable ROI, and sustainable business growth. You will thrive in an environment where your professional decisions areconsistently guided and grounded by our corporate values of integrity, innovation, and a commitment to our collective success.

Responsibilities

• End-to-End System Ownership - Lead the development and integration of a comprehensive AI-driven supply chain operating platform covering:

• Inventory Forecasting Demand: Deploy sophisticated predictive models to analyze inventory-specific demand patterns, incorporating seasonality, market trends, and lead-time variability to ensure optimal stock levels and availability.

• Procurement Management: Build automated, intelligent procurement systems that optimize vendor selection, purchase order generation, and cost-efficiency.

• Logistics Operations: Develop optimization engines for route planning, warehouse resource allocation, and real-time distribution efficiency.

• Strategic Leadership: Mentor a team of engineers, championing best practices in code quality, system architecture, and MLOps.

• Workflow Transformation: Utilize Design Thinking to audit, redesign, and automate legacy workflows. Ensure that process re-engineering and AI implementation work in tandem to eliminate bottlenecks.

• Customer & Stakeholder Partnering: Act as a technical authority in client-facing engagements. Translate complex business pain points into scalable technical requirements that deliver immediate business value.

• Cultural Leadership: Embody our corporate culture in all interactions, fostering a collaborative, transparent, and high-performance team environment.

Requirements

• Degree in Computer Science or related discipline, Operations Research, Industrial Engineering or Data Science.

• Experience: At least 5 years of software engineering experience, with 3+ years specifically in AI/ML development. Proven track record of leading technical teams through complex, multi-phase project lifecycles.

• Technical Proficiency: Expert-level Python for both ML modelling and backend systems. Proficient in time-series forecasting (Prophet, LSTMs, Transformers) and constraint-based optimization (OR-Tools, Gurobi). Have sound technical knowledge and skills related to databases/data lakes/data platforms (e.g.Databricks) setup and implementation.

• Domain Expertise: Comprehensive understanding of the integrated supply chain, specifically regarding the nuances of inventory forecasting demand, purchasing, warehousing and last-mile/distribution logistics. Proven record of delivering quantifiable ROI (e.g., reduction in inventory holding costs, improvements in delivery speed, or automated procurement throughput).

• Consulting Mindset: Ability to conduct process discovery, facilitate design-thinking workshops, and articulate technical roadmaps to non-technical executive stakeholders.

• Engineering Rigor: Deep knowledge of cloud infrastructure (AWS/GCP/Azure), containerization, and MLOps pipelines (CI/CD for data and model versions).Direct experience integrating AI solutions with major ERP (SAP, Oracle) or WMS platforms.

• Communication: Exceptional stakeholder management skills; capable of navigating complex conversations with both technical developers and business clients.