Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and maintain a custom Order Management System using PHP/Symfony on the back-end and Svelte on the front-end, collaborating across time zones.
Database Administrator designs and tunes Oracle databases to support scalable logistics applications, ensuring performance, security, and reliability for global projects.
Design and deploy AI solutions to optimize logistics workflows, using LLMs and GenAI tools to streamline project delivery and cross-functional coordination.
Leads AI-driven product strategy for Flexport’s freight operations platform, automating core workflows for logistics operators.
Build production-grade AI tools and data pipelines for the Group CEO, turning executive problems into reliable LLM-enabled workflows and decision-support systems while aligning with maritime and trading operations.
Analyze logistics market trends and competitor data to produce BI reports and strategic insights using Excel and Power BI.
Build and own a full-stack data platform for a global dry-bulk shipping company, integrating Python/SQL services with Azure, Microsoft Fabric, and external data to power commercial and operational decisions.
Build and scale backend systems for a logistics startup serving Hong Kong’s frontline industries, focusing on clean code and reliable software.
Build and scale backend services for a global retail supply-chain platform, integrating AI/ML features using Python, PyTorch, and Scikit-learn.
Build and maintain frontend features for a logistics platform’s web apps using JavaScript/HTML/CSS while learning backend stacks like Java/Node.js/Golang in a fast-growing startup.
Designs and deploys data-collection systems for maritime and industrial operations, troubleshooting edge deployments and collaborating with engineering teams.
Design and deploy multi-agent AI systems for logistics workflows, integrating LLMs with enterprise tools using frameworks like CrewAI and LangGraph.
Designs and builds scalable Azure data pipelines for maritime analytics, using Azure services to support ERP and financial reporting.
Design and deploy enterprise AI systems, including multi-agent architectures and RAG pipelines, integrating LLMs with SAP and internal tools to drive logistics innovation.
Designs and maintains cloud-based data pipelines and ELT workflows using GCP, BigQuery, dbt, and Airbyte to ensure accurate, scalable analytics for reporting and decision-making.
Build and maintain ML pipelines and automated data workflows in Python/SQL to productionize models that optimize freight-movement analytics and guide business decisions.
Build and deploy ML models and ETL pipelines in Python/SQL to optimize freight logistics, partnering with data scientists and business teams.
Build and deploy AI/ML models and data pipelines to power logistics solutions, working with Python, cloud platforms, and MLOps tools.
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
Lead the design and delivery of a scalable enterprise data platform, building ETL/ELT pipelines and enabling analytics and AI across cloud and hybrid environments.
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