Shipwell

AI Engineer

• As an AI Engineer at Shipwell, you will be at the forefront of building production-ready AI agents that transform how logistics operations work.
• You'll design, develop, and deploy agentic workflows that act as autonomous digital workers—systems that don't just analyze data, but actively execute tasks, make decisions, and interact with users to solve real supply chain challenges.
• Working with modern frameworks like LangChain and LangGraph, you'll architect intelligent systems that handle everything from shipment tracking to settlement processing.
• This role goes beyond prototyping—you'll own the full lifecycle of AI agents in production, ensuring reliability, scalability, and data integrity across AWS infrastructure.
• You'll collaborate with product, engineering, and data science teams to pioneer the next generation of AI-powered logistics solutions, where AI acts as a trusted co-worker rather than just a tool.

Data Scientist

• Lead and mentor a team of ML engineers, AI engineers, and data scientists, providing technical guidance and fostering professional development
• Set the technical vision and strategy for AI/ML initiatives, making critical architectural decisions that shape our data and AI infrastructure
• Collaborate closely with engineering, product, analytics, and leadership teams to align AI/ML projects with business objectives
• Oversee the design, development, and deployment of ML models, AI agents, and data pipelines from conception to production
• Ensure data quality, integrity, and performance across all ML and data infrastructure through best practices and monitoring systems
• Drive innovation in GenAI, agentic systems, and advanced ML techniques to keep Shipwell at the forefront of AI in logistics
• Manage project timelines, resource allocation, and cross-functional dependencies to deliver high-impact AI solutions
• Communicate technical concepts and project outcomes effectively to both technical and non-technical stakeholders
• Stay proactive in identifying opportunities for improvement and raising the bar for team performance and technical excellence

Manager, AI and Data Science

Machine Learning Engineer

• As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions.
• You'll design, develop, and maintain the data pipelines and ML infrastructure that power our autonomous digital workers and drive data-driven decision-making across the organization.
• Your work will span the full machine learning lifecycle—from extracting and transforming data from diverse sources to implementing production-grade ML models in our cloud environment.
• You'll optimize our AWS infrastructure, establish data integrity standards, and create scalable architectures that enable research teams to access the data they need.
• Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level.
• This is a dynamic opportunity to become the expert on Shipwell's ML and data infrastructure, make critical technical decisions, and contribute to projects at the forefront of GenAI and machine learning in the logistics industry.
• You'll own the processes you create and have the opportunity to grow your skills while revolutionizing how the supply chain operates.