Senior AI and Software Engineer

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 modern microservice 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, and operational 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‑time inference)
• Implement model monitoring, drift detection, and continuous retraining workflows.

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 logic into 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, distributed systems
• 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 asynchronous systems
• Familiarity with geospatial computation, routing algorithms, or optimization models
• 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

Please complete assessment quiz on https://coderbyte.com/sl-candidate?promo=uparcel-9w359:software-engineer-le37qwwizk&invb=user813jshxz