Senior AI Engineer

About the job
Job Title: Senior AI Engineer (Master’s Degree or Higher)
Location: Remote (Headquartered in Seoul, KR)
Team: AI & R&D, Doaz Co., Ltd.
Employment Type: Full‑timeRole Overview
Doaz is seeking a highly skilled Senior AI Engineer with a Master’s degree (or higher) in Computer Science, Electrical Engineering, AI, or a related field. You will lead the design, development, and deployment of our next‑generation drawing‑management SaaS platform, focused on:
Automated content recognition within engineering drawings (floor plans, sections, structural details, rebar schedules, column schedules, etc.)
Metadata extraction and standardization
AI‑powered classification and grouping by purpose, function, and spatial domain
LLM/RAG‑based natural‑language search and industrial drawing recommendation

Key Responsibilities
Content Recognition & Extraction
Architect and implement deep‐learning models for object detection/segmentation (e.g., VLMs, YOLO, Detectron2, U‑Net) to identify industrial drawing regions.
Integrate OCR solutions (Tesseract, Google Vision API, or custom TensorFlow/Keras pipelines) for text and annotation extraction.
Standardize extracted metadata into JSON/XML formats and validate against industry schemas (IFC/BIM).
Data Pipeline & Storage
Design scalable data ingestion and preprocessing pipelines for mixed‐media drawing formats (PDF, JPEG, DWG).
Build and maintain a hybrid data store:
Relational DB (PostgreSQL) for structured metadata
Graph DB (Neo4j) to model inter‑drawing relationships
Vector database (FAISS, Pinecone, or Qdrant) for embedding‐based similarity search
Classification & Grouping
Develop and train machine‐learning/deep‐learning classifiers (SVM, Random Forest, or neural networks) to automatically group drawings by purpose, function, and space.
Implement clustering algorithms (K‑means, DBSCAN) to refine grouping based on evolving data patterns.
LLM & RAG Integration
Integrate and fine‑tune large language models (GPT‑3/4, Llama or equivalent) for domain‑specific query understanding.
Construct a robust RAG pipeline: vector search → retrieval of relevant metadata → LLM‑augmented response generation.
Optimize end‑to‑end latency to ensure sub‑3‑second response times.
API & Front‑End Prototyping
Develop RESTful APIs (FastAPI or Flask) exposing search, classification, and metadata services.
Collaborate with front‑end engineers to build a Streamlit (or equivalent) prototype showcasing:
Drawing search by natural language
Interactive recommendation panels
Graph‑network visualization of drawing relationships
Collaboration & Documentation
Drive daily stand‑ups, design reviews, and code reviews.
Produce clear technical documentation, API specs, and user guides.
Mentor junior engineers and contribute to knowledge‑sharing sessions.
Required Qualifications
Master’s degree or higher in Computer Science, AI, Machine Learning, or a closely related technical field.
3+ years of professional experience in AI/ML engineering, with a strong portfolio of computer vision and NLP projects.
Proficiency in Python and deep‑learning frameworks (TensorFlow, PyTorch).
Hands‑on experience with object detection/segmentation (e.g., YOLO, Detectron2).
Solid understanding of OCR technologies and text‐extraction pipelines.
Experience designing and querying relational (PostgreSQL) and graph databases (Neo4j).
Familiarity with vector databases for embedding search (FAISS, Pinecone, Qdrant).
Practical exposure to LLMs and building RAG systems.
Strong software engineering skills: API development, containerization (Docker), version control (Git).
Excellent problem‑solving skills, attention to detail, and ability to work in a fast‑paced, agile environment.
Fluent English communication skills (both written and verbal).
Preferred Qualifications
PhD in AI, Computer Vision, or NLP.
Knowledge of BIM/IFC standards and integration.
Familiarity with front‑end frameworks (React, Vue.js) or low‑code prototyping tools (Streamlit).
Experience with Kubernetes or serverless deployments.
What We Offer
Opportunity to lead a breakthrough AI‑driven SaaS product in the engineering & construction industry.
Collaborative, multicultural team with flexible work arrangements.
Competitive salary, equity options, and benefits package.
Continuous learning budget and support for attending conferences/certifications.
Direct impact on product strategy and rapid career growth in a high‑growth startup.
To Apply: Please submit your résumé, a brief cover letter outlining your relevant experience, and links to any relevant GitHub or portfolio projects to [email protected]
We look forward to exploring how your expertise can help us revolutionize drawing management with AI!

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