Senior AI and Software Engineer

UParcel; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

uParcel is hiring a Senior AI & Software Engineer to architect and build the core intelligence powering real-time job assignment, routing efficiency, and driver-matching at scale. You will design distributed systems, production ML pipelines, and guide the platform toward autonomous, AI-driven logistics.

You will lead backend service design with Python/Django, implement scalable AWS deployments, and build high-performance APIs for real-time decisioning, while mentoring engineers and shaping

Qualifications

• Strong CS fundamentals: algorithms, data structures, distributed systems.
• Expert-level Python and production Django experience.
• Deep understanding of AWS cloud architecture and infra design.
• Experience building and deploying ML models in production environments.
• RESTful API design, microservices, and asynchronous systems knowledge.
• Familiarity with geospatial computation, routing algorithms, or optimization models.
• Experience with CI/CD pipelines, Docker, and IaC (CloudFormation).
• Ability to reason about system performance, scalability, and reliability.

Responsibilities

• Own system architecture and backend engineering for real-time decisioning.
• Architect and implement backend services using Python, Django, and microservices.
• Design scalable, fault-tolerant AWS deployments (EC2, ECS/Lambda, RDS, S3).
• Build high-performance APIs for real-time driver matching and workflows.
• Implement asynchronous processing pipelines (Celery, SQS) and monitoring.
• Lead AI/ML engineering for real-time job assignment and load balancing.
• Collaborate with data/ops teams to ensure scalable data pipelines.
• Drive architectural decisions and enforce engineering best practices.

Skills

CS fundamentals

Python/Django

RESTful APIs

Distributed systems

ML in production

System performance

Scalability & reliability

Geospatial algorithms

Tools

Docker

AWS (EC2, ECS/Lambda, RDS)

CloudFormation

Job description

Own the Architecture. Build the Intelligence. Scale the Network. uParcel operates one of Singapore’s largest last-mile delivery networks, and we are evolving our platform into a fully autonomous, AI-driven logistics engine. We’re hiring a Senior AI & Software Engineer to architect and build the core intelligence that powers real-time job assignment, routing efficiency, and driver-matching logic at scale. This is a high-impact engineering role for someone who wants to design distributed systems, build production-grade ML pipelines, and shape the technical direction of a fast-growing logistics platform.

Core Responsibilities

• System Architecture & Backend Engineering


• Architect and implement backend services using Python, Django, and modernmicroservice patterns


• Design scalable, fault-tolerant systems deployed on AWS (EC2, ECS/Lambda,RDS, S3, CloudWatch, API Gateway, IAM, containers)


• Build high-performance APIs for real-time decisioning, driver-job matching, andoperational workflows


• Implement asynchronous processing pipelines using Celery, SQS, or equivalent

AI/ML Engineering

• Lead the design and development of uParcel’s AI-driven job assignment engine,incorporating:


• Real-time geospatial data


• Driver availability, historical performance, and behavioral patterns


• Delivery SLAs, urgency, and route constraints


• Predictive ETA and load balancing models


• Build ML pipelines for training, evaluation, and deployment (batch + real-timeinference)


• Implement model monitoring, drift detection, and continuous retrainingworkflows

Data Engineering & Infrastructure

• Design data schemas and pipelines to support high-volume event ingestion


• Work with geospatial datasets, map APIs, and routing algorithms


• Optimize query performance on relational and NoSQL datastores


• Ensure observability across services (metrics, tracing, structured logs)

Technical Leadership

• Drive architectural decisions and enforce engineering best practices


• Conduct deep technical code reviews and mentor mid-level engineers


• Collaborate with product, operations, and data teams to translate business logicinto deterministic, scalable systems


• Own end-to-end delivery of features from design to production rollout

Required Technical Expertise

• Strong computer science fundamentals: algorithms, data structures, distributedsystems


• Expert-level proficiency in Python and production experience with Django


• Deep understanding of AWS cloud architecture and infrastructure design


• Experience building and deploying ML models in production environments


• Strong knowledge of RESTful API design, microservices, and asynchronoussystems


• Familiarity with geospatial computation, routing algorithms, or optimizationmodels


• Experience with CI/CD pipelines, containerization (Docker), and IaC(CloudFormation)


• Ability to reason about system performance, scalability, and reliability

Bonus Skills

• Experience with reinforcement learning or real-time decision engines


• Background in logistics, fleet optimization, or marketplace matching systems


• Knowledge of graph algorithms, heuristics, or constraint-solving techniques