AI Engineer

Position Detail

MarinaChain is a global maritime logistics AI startup that structures unstructured data from the shipping and shipbuilding industries to deliver carbon-regulation compliance and decision-making solutions. We're looking for a capable engineer to help bring the parsing technology behind ParseAI, MarinaChain's core engine, to world-class level.

Key Responsibilities

• •Parsing unstructured shipping reports: improving NER (Named Entity Recognition) and IE (Information Extraction) models that precisely parse the various unstructured text formats and documents generated by ships.
• •Building a structure-aware parsing engine: optimizing algorithms that convert PDF and Word (.docx) documents to Markdown (.md) while preserving layout and formatting (bold, italic, etc).
• •Designing data pipelines: generating source-map.json, which maps parsed results back to their original locations, and developing the logic that connects it with the chunking strategy.

Qualifications

• •ML/NLP experience: hands-on experience in machine learning modeling and natural language processing (NLP)
• •VLM proficiency: experience extracting and tuning data using Vision-Language Models
• •Development stack: strong Python skills and proficiency with PyTorch- or TensorFlow-based deep learning frameworks
• •Data-building experience: experience building and managing high-quality training datasets using semi-supervised learning and tools such as DVC
• •Global communication: regardless of nationality, English or Korean communication skills sufficient for technical collaboration and documentation

Preferred Qualifications

• •Document processing: experience with OCR services such as AWS Textract, or layout-analysis skills
• •LLM agents: experience developing AI agents using RAG (Retrieval-Augmented Generation) or the ReAct framework
• •Shipping domain knowledge: understanding of vessel operations data or related regulations (EU ETS, FuelEU, etc)
• •Large-scale processing: experience serving models and optimizing GPU resources in a Kubernetes (K8s) environment

Tech Stack & Tools

Benefits & Perks

• •Flexible culture: a development environment that supports growth, with a horizontal communication culture

Hiring Process

• •Document screening
• •Technical interview
• •Culture fit interview
• •Final offer

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