Full-stack Builder

Expand what a creative business can do through technology.

Full-stack Builder

Business Architecture & Applied AI

Kyndof operates womenswear brand 2000Archives and stagewear studio 2000Atelier. Our work brings together imagery, taste, materials, silhouettes and decisions made on the production floor. We are looking for a Full-stack Builder who understands that context and connects information, tools and people to create business value.

Here, full-stack responsibility extends from defining a business problem and designing its architecture to building, operating and embedding the solution in everyday work. You will use strong engineering foundations to learn unfamiliar domains quickly and solve problems across teams and systems.

Problems we could solve together

These are examples. We will choose the first projects based on their value and feasibility.

• Connect product images, design references and material information with sales and inventory signals to support product planning and reorder decisions.
• Turn customer images and requests into the specification, cost and lead-time checks needed for faster, more accurate quotations and orders.
• Connect tools that lack APIs or require on-screen interaction through browser automation and other integration methods, with reliable handling of failures.
• Capture designers' and operators' judgments as feedback and evaluation criteria to improve search, recommendations and matching, and test new customer experiences and services.

What you will do

• Work with the CEO and operational teams to understand the business and real workflows, define problems and expected value, and agree on priorities and success criteria.
• Design data models, system boundaries, workflow states and input/output contracts. Decide how to combine existing tools, custom software, AI and human judgment, and what to establish now or change later.
• Build and deploy the necessary web, backend, data, browser automation and AI capabilities. Test alternative approaches when blocked and develop useful experiments into maintainable systems.
• Work directly with design, production, sales and operations teams. Incorporate exceptions and feedback, and support adoption, training and ongoing use.
• Build validation, observability, retries, duplicate-execution protection, permissions and manual fallback paths so changes to interfaces, external services and model responses can be detected and handled.
• Reuse shared structures and tools across a broad development scope. Measure the effect on revenue opportunities, margins, lead times, quality and operating costs.

What we look for

• Experience taking an ambiguous problem through system design, implementation and real operation.
• Technical depth across frontend, backend, data and deployment, with clear reasoning about architectural alternatives, complexity and the cost of change.
• Business judgment: understanding value and cost, questioning whether a requested feature is necessary, and proposing better priorities or scope.
• Experience translating operational language and implicit rules into ways for people and systems to work together.
• The ability to learn unfamiliar domains and technologies quickly, run small experiments and revise incorrect assumptions.
• A habit of using AI development tools while personally validating code, data and output quality.
• The ability to manage dependencies across projects and expand delivery capacity through reuse, standards and collaboration.

Helpful experience

• Combining browser automation with APIs, files and document processing in workflows with frequent changes and exceptions.
• Using type safety, schema validation and state models to reduce data and workflow errors.
• Applying LLMs, VLMs, search, recommendations or machine learning to real products and improving them through evaluations, user feedback and cost measurement.
• Working with fashion, design, imagery, production or commerce, or owning both problem definition and technical execution in an early-stage business.

You do not need prior experience with every technology. We value a strong technical foundation and the ability to acquire and apply the knowledge a new problem requires. Fashion experience is optional; respect for the creative and operational context is essential.

Choose technology to fit the problem

Use APIs, webhooks, databases and browser automation to connect systems; LLMs for language and documents; and VLMs for images and screens. Combine search, rules, statistics and machine learning where appropriate. Choose based on value, accuracy, cost, speed and maintainability.

Use type-safe interfaces together with runtime schema validation at model and external-system boundaries. Distinguish deterministic rules, model inference and decisions requiring human judgment. Design workflows that can be maintained as browsers, models and services change.

You will define problems and priorities with the CEO and operational owners, and lead technical design and implementation. Start with a small workflow in real use, validate its value and then expand. Evaluate aesthetic quality with designers and operational users, and make scope and support needs explicit.

What progress looks like

Start by understanding the business and systems, selecting a valuable first problem and defining a baseline. Connect one previously fragmented workflow, test real use and exceptions, and verify business value, quality and operating costs. Leave reusable structures and operating guidance. Specific timelines will reflect the agreed scope.

Show us your work

Send a resume and one or two projects you led. Code, a service, architecture documents, a portfolio or a description with confidential details removed are all welcome.

1. What business or operational problem did you identify, and why did you prioritize it?
2. What was disconnected or failing, and what did you personally design and build?
3. Which technologies and alternatives did you consider? How did you handle changing interfaces, model errors and external data?
4. What changed in actual use and business results? If you lack metrics, explain the observable changes and evidence.
5. What did you have to learn, and what changed after feedback or failure?

We assess technical depth and business judgment separately. Distinguish your decisions, your implementation and the outcomes observed in use.

Role details

• Company: Kyndof
• Reports to: CEO
• Location: Jung-gu studio, Seoul
• Employment: Full-time; contract arrangements may be discussed
• Hiring capacity: Up to two additional hires in total across Full-stack Builder and CEO Staff — Technology & Special Projects
• Contact: join@kyndof.com

Hiring process

Application review → Online test → First interview → Second interview → Compensation discussion → Final offer.

Additional interviews or coffee chats may be arranged, and reference checks may be conducted when needed.