Senior Data & AI Engineer

About Magic Port

Magic Port’s mission is to enable smart shipping. We want to transform how the maritime community accesses intelligence, manages their workflows and collaborates.

Over 80% of global trade, worth over US $15 trillion dollars, is carried on ships. We can change how millions of people get their jobs done every day and make shipping industry more sustainable.

Magic Port was founded in 2021 in Singapore, our team is distributed globally. We currently have customers in 40+ countries. We are aiming to increase our revenues 3x+ over the next year.

We are ambitious, we want to revolutionize the maritime industry. Our core values include integrity, ownership, and radical truthfulness. We operate as a team of entrepreneurs. Here you will get resources, support, and the playing field to take ownership to tackle big challenges.

As a Senior Data & AI Engineer, you will be a core member of our maritime intelligence team. You'll collaborate with product teams to build and deploy cutting-edge data and AI solutions, owning the full lifecycle from data ingestion to delivering actionable insights. Your work will help revolutionize the global shipping industry.

• Build and maintain Python ETL pipelines to ingest, process, and expose data through RESTful APIs, ensuring high standards of accuracy, consistency, and reliability.
• Research, evaluate, and onboard new maritime data sources (e.g., AIS), assessing their structure, quality, and integration potential.
• Develop and deploy containerized applications to Kubernetes clusters using CI/CD pipelines for efficient and scalable processes.
• Manage cloud infrastructure (Azure, GCP, AWS) to provision resources, scale clusters, and ensure system uptime.
• Design, build, and deploy AI agentic workflows leveraging LLMs to autonomously orchestrate complex, multi-step processes and augment decision-making with internal data services.
• Partner with product team and engineers to translate business and operational needs into data and AI solutions, contributing to the technical strategy and product roadmap.
• Design and implement data algorithms, including ML models where applicable, to detect anomalies and extract actionable insights from structured and unstructured datasets.
• Leverage a diverse tech stack daily, including Python, R, Bash, Git Hub, Kubernetes, RESTful APIs, and cloud platforms (Azure, GCP) for data engineering, analytics, and deployment workflows.
• Champion the latest AI trends and data analytics innovations within the organization.
• Develop comprehensive technical documentation and implement thorough unit and integration tests for all APIs and AI agent workflows.

• A bachelor's degree in data science, Computer Science, Engineering, or a related quantitative field.
• A minimum of 3-5 years of professional experience in a role focused on data engineering, API development, or building data-driven AI solutions at scale.
• Hands-on experience with AI and ML, including working with Large Language Models (LLMs), MCP (Model Context Protocol), and developing agentic workflows using frameworks such as Google’s ADK, Lang Chain, or similar.
• Proficiency in database management, including schema design, migration, and optimization, with strong SQL skills for querying and manipulating large datasets.
• Expertise in Python with a strong track record of building production-grade data pipelines, APIs, and AI services; additional experience in R and Bash is a plus.
• Proficiency in cloud platforms and Dev Ops, including containerized environments (Docker, Kubernetes), CI/CD pipelines, and managing infrastructure for production systems (networking, autoscaling, and monitoring).
• Superior communication skills, with the ability to interact with business users to identify their needs and translate them into technical solutions.
• Strong problem-solving, critical-thinking, and project management skills, with the ability to prioritize tasks and meet established deadlines.
• Familiarity with maritime and logistics industries is a plus.

• Generous total compensation, including meaningful equity in high potential early-stage company
• Get opportunity to develop groundbreaking AI workflows including LLMs and agents in real-world production systems.
• Support and mentorship from industry experts as you navigate the maritime sector
• A decentralized, entrepreneurial organization that values your initiative
• An open and transparent culture
• The flexibility of work from anywhere
• Wide open learning and growth opportunities in a dynamic environment
• Collaboration with equally talented and committed team members