Senior Data & AI Engineer

MagicPort; Singapore; Remote; SGD 80,000 - 120,000; Full time

Job summary

A leading maritime technology company is seeking a Senior Data & AI Engineer to transform the shipping industry. You'll develop and maintain data ingestion pipelines and collaborate on AI solutions that leverage cutting-edge technologies. Ideal candidates will have experience in data engineering, API development, and working with large datasets. The role offers a flexible work environment and generous compensation including equity in a high-potential company.

Benefits

Generous total compensation

Opportunity to develop groundbreaking AI workflows

Flexibility of work from anywhere

Qualifications

• 3-5 years of experience in data engineering or AI solutions.
• Hands-on experience with AI/ML, particularly LLMs.
• Expertise in Python and experience building production-grade data pipelines.

Responsibilities

• Build and maintain Python ETL pipelines and RESTful APIs.
• Onboard new maritime data sources for incorporation.
• Manage cloud infrastructure to ensure system uptime and efficiency.

Skills

Data engineering

API development

Large Language Models (LLMs)

Python

Cloud platforms

SQL

Containerization (Docker, Kubernetes)

Education

Bachelor's degree in data science or related field

Tools

Azure

GCP

Kubernetes

Job description

MagicPort’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.

MagicPort 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.

What we value

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.

About the Role

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.

What you will do

• 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, GitHub, 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.

What you will need

• 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\u2019s ADK, LangChain, 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 DevOps, 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.

What you will get

• Generous total compensation, including meaningful equity in a high-potential early-stage company
• 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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Technology, Information and Internet