科技職缺
職缺列表
Senior Backend Engineer — AI startup, DBtune
Senior Backend Engineer building and maintaining DBtune's AWS-hosted Django backend that powers their AI/ML-driven database optimization platform, including scaling the service, data processing, infrastructure, and front-end updates.
L3 support / junior Devops
Remote Technical Account Manager / DevOps role acting as the bridge between customers and a cloud asset management platform. Owns strategic account relationships, leads IaC onboarding (Terraform, Cloudflare), runs health reviews, supports pre-sales, and writes integration guides for cloud provider workflows.
Software Engineer, LLM Inference
Engineer optimizing Soniox's vLLM-based LLM inference stack for low latency, high throughput, and maximum GPU utilization at production scale — working on CUDA/Triton kernels, KV-cache management, distributed GPU execution, and deep performance profiling for their voice AI platform.
Full-stack Engineer (backend oriented)
Backend-leaning full-stack engineer designing and building core components in Go within an event-driven architecture for a cloud-native telecom platform scaling from thousands to millions of users, jumping into React/TypeScript when needed and using Claude/ChatGPT in an AI-first workflow on a Kubernetes/AWS stack.
[프로덕트] Product Manager
Product Manager for a B2B SaaS influencer marketing analytics platform, leading product operations, improvements, and prioritization based on customer and data insights. Collaborates with engineering, design, sales, and marketing using tools like Jira, Amplitude, and Datadog.
리커머스 플랫폼 Product Manager(PM) 3년 이상
Product Manager at a Seoul-based recommerce startup leads end-to-end product development for a secondhand fashion consignment marketplace—defining problems, running 2-week sprints across the SDLC, and embedding AI-driven inspection, pricing, and image analysis into the buyer and seller experience.
프로덕트 UI/UX & 마케팅 디자이너
Owns UI/UX design (70%) for EVAR's EV charging app/web and B2B control dashboards, plus brand and marketing/print asset design (30%). Leverages generative AI tools (Midjourney, ChatGPT, Claude, Figma AI) across the design pipeline. Core stack: Figma and Adobe CC (Photoshop, Illustrator, InDesign).
AI Backend / Data Platform Engineer
Build the backend and data infrastructure for Astta's AI commerce marketing platform Moast, integrating external platform APIs (Cafe24, GA4, Meta Ads, Instagram), designing BigQuery-based ETL/ELT pipelines and data models, and developing the query backend powering AI marketing analysis agents.
LLM 트레이닝 엔지니어(데이터 사이언티스트)
Train and evaluate LLMs on large-scale financial disclosure data at a small Seoul AI startup — applying SFT, RLHF, RAG, and continual learning, building evaluation pipelines, and translating the latest LLM research into production experiments for finance/legal/medical domains.
Python Developer
Backend developer role at Persona AI in Seoul maintaining and extending Java Spring Boot services, REST APIs, and databases for AI-powered contact center and generative AI platforms serving finance, bio, automotive, and public sector clients.
Product Designer (UI/UX)
Owns product design for an AI runtime Trust Layer console — designing information-dense monitoring dashboards, human-in-the-loop review workflows, and a shadcn/ui + Tailwind design system for a startup (Tynapse) building AI guardrails/observability infrastructure targeting regulated industries.
Product Engineer (GO,Backend)
Backend-focused Product Engineer at DUBU building the real-time voice-based AI web service Dubu PingPong for children's language and social development, owning Go backend, reservation/operations systems, and data governance on AWS.
[개인정보보호팀] Information Security Manager
Information Security Manager at a Seoul fintech safeguarding personal and credit information through compliance reviews, ISMS-P/ISO 27001/PCI-DSS certification work, and monitoring of MyData services for an AI-powered business management platform used by 2.2M+ small businesses.
AI Engineer (신약개발)
AI Engineer at 3Billion developing deep-learning models across the full drug-discovery pipeline — target identification, compound generation, protein–ligand binding prediction, and activity/toxicity prediction — using tools like AlphaFold, ESM, DiffDock, and Boltz in a Seoul-based, interdisciplinary biotech team.