科技職缺 — 第 21 頁 · freehire

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529 jobs

529 jobs

팀스파르타

Forward Deployed Engineer(3-7년)

Forward Deployed Engineer at Team Sparta's AXOps team embedding in customer sites (defense, public, finance, medical) to deploy and operate an on-premises LLM platform in closed/air-gapped networks. Day-to-day work spans CLI/agent container deployment, GPU inference stack tuning (vLLM/SGLang/TGI), RAG/data flywheel refinement, and customer-facing PoC delivery.

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Product Engineer(Backend Focus)

Backend product engineer at a Korean AI startup building an R&D partner-matching SaaS that connects enterprises with research labs. Works across Nest.js, Kotlin Spring Boot, and Python with PostgreSQL, ElasticSearch, GCP, Dagster, and LLM/data-engineering pipelines.

ai analytics bigquery business-development ci-cd +22 skills

백엔드 엔지니어 (Growth Backend Engineer)

Backend engineer on the Growth squad at Eleven, designing and developing systems that drive user acquisition and activation for AI character chat services (Babechat, Tookit). Owns large-scale traffic APIs, A/B testing/event pipelines, multi-region architecture, and marketing automation using AWS/GCP, Kubernetes, Kafka, and RDB/NoSQL.

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프론트엔드 엔지니어 (Growth Frontend Engineer)

A Growth Frontend Engineer at AI character chat startup 일레븐 builds the user-facing onboarding, signup, and landing flows that drive global acquisition for Babechat and Tookit, implementing A/B tests, feature flags, event tracking, i18n, and Web Vitals optimizations in React, Next.js, and TypeScript alongside marketing and data teams.

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뉴타입인더스트리즈

Software Engineer - Defense Applications

APAC, CIS, Europe, North America

Front-deployed engineer role at a defense AI startup building combat-deployed solutions for artillery and drone reconnaissance (voice command, on-device target detection). Work involves end-to-end design, implementation, and deployment of on-device AI inference pipelines on Android edge devices, ATAK tactical integration, secure architecture, and on-site troubleshooting with operators at training

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Sales Architect(기술영업)

Technical sales architect for an AI-powered university edtech platform: designs and demos AI chatbot and multi-LLM products to university clients, handles RFP/bidding technical responses, and manages API/SSO integration projects across multiple stakeholders.

ai api chatgpt llm pre-sales +2 skills

링크알파(LinqAlpha)

Forward Deployed Engineer

A Forward Deployed Engineer turns institutional-investor trading and research problems into production AI agents. The role covers problem definition, agent and workflow design, backend and infrastructure implementation, and evaluation using Python or TypeScript, LangGraph, Claude Code, MCP, and SSE.

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링크알파(LinqAlpha)

Applied AI Engineer (Search & Integration)

LinqAlpha builds AI agent products for global hedge funds and asset managers. The Applied AI Engineer owns the product end-to-end—from APIs through Search/Chat/Analytics AI services to the data layer—designing prompts, tools, and agent workflows, and integrating external systems in Python or TypeScript.

ai analytics api aws azure +7 skills

링크알파(LinqAlpha)

Data Engineer(Data Platform)

Design and operate data pipelines that collect, normalize, and index structured and unstructured financial data (filings, transcripts, news) so AI research agents at a Seoul fintech startup can serve institutional investors. Stack centers on Python, OpenSearch/Elasticsearch, vector search, RAG pipelines, and multi-cloud (AWS/Azure/GCP) infrastructure.

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링크알파(LinqAlpha)

Backend Engineer (Agent Platform)

Backend engineer building production-grade AI agents for an institutional fintech B2B SaaS, owning the agent runtime, tool layer, LLM orchestration, and supporting backend APIs across AWS/Azure/GCP. Day-to-day work spans Python/TypeScript services, MCP tools, multi-provider LLM streaming/caching/fallback, PostgreSQL, and async queues.

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링크알파(LinqAlpha)

Frontend Engineer, AI Agent Product

Frontend engineer for an AI-native finance research agent B2B SaaS serving institutional investors. Builds streaming chat UIs, citation rendering, and generative UI outputs (documents, charts, spreadsheets, HTML) using React and TypeScript, with high-density financial interfaces.

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링크알파(LinqAlpha)

Applied AI Researcher (LLM)

First applied AI researcher at a Seoul fintech building an AI-native financial research SaaS for institutional investors. Owns research end-to-end: hallucination and citation-fidelity metrics for LLM agents on earnings transcripts, filings, and news; designs evaluation infrastructure and benchmarks, publishes externally, ships validated methods into the production agent runtime (AWS/Azure/GCP).

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몬드리안에이아이

AI/ML Engineer (4년 이상)

AI/ML Engineer at Mondrian AI developing ML models for manufacturing, energy, and public-sector clients — time-series anomaly detection, forecasting, and vision-based quality inspection on real sensor/process data. Owns end-to-end work from data pipeline design through PyTorch training, ONNX conversion, quantization/pruning, and edge or on-prem deployment.

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딥인사이트

AI Research Engineer

Research and develop on-device AI deep learning models for vehicle in-cabin sensing — designing computer vision models (detection, pose, segmentation), optimizing them for automotive SoCs, and leading experiments from problem definition through system integration. Core stack: Python, PyTorch, CNN/Transformer architectures.

ai mlflow python pytorch quantization +1 skills

티오리(Theori)

ML Engineer - αprism

ML Engineer on Theori's αprism team developing NLP models for an AI security product that detects and blocks sensitive data leaks via generative-AI prompts. Day-to-day work: build and productionize NLP models, design ML serving infrastructure for SaaS/on-prem, run preprocessing/experiment/evaluation pipelines, and publish research.

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파트리지시스템즈

[Physical AI]Forward Deployed Engineer(FDE)

Forward Deployed Engineer at Partridge Systems deploying their Physical AI DataOps platform (databahn) at customer sites in autonomous driving and smart factory domains. Day-to-day work involves analyzing sensor/video/log data, building Python-based PoCs end-to-end (data collection → model application → reporting), and turning field learnings into product features.

ai computer-vision docker kubernetes llm +3 skills

Full Stack Engineer - AI 기반 관광 서비스

Hands-on full-stack engineer at KOncierge, an early-stage startup building an AI-powered travel concierge platform. The role spans Python backend with LLM/OpenAI integration, internal ops tools, dashboards, and supporting frontend work across the full product stack.

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블랙피그에이아이

AI 개발 총괄 (Lead AI Engineer)

Lead AI Engineer 총괄로서 세무·노무·법무 분야 백오피스 자동화 플랫폼의 AI 아키텍처를 설계·리딩하며, LLM·RAG·AI 에이전트를 프로덕션에서 운영·파인튜닝(Qwen/Llama/Mistral, LoRA/QLoRA, vLLM)하고 팀 빌딩과 정부 R&D 과제 성능지표 달성을 담당합니다.

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Agentic AI Engineer

Develops the core agent engine for OneAgent, a desktop AI agent that uses LLMs to autonomously operate browsers and computers, focusing on tool calling pipelines, MCP integration, browser/computer use automation, and agent evaluation. Stack involves TypeScript/JavaScript or Python with Electron for the desktop app.

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포티투닷(42dot)

Deep Learning Engineer (음성 인식, wake word)

Deep learning engineer developing voice AI for in-vehicle use, designing speech recognition (STT) and wake word detection models, building voice databases, and deploying batch/streaming applications on Linux/Android with hardware-efficient model optimization. Core tech includes PyTorch, C/C++/Python, and on-device edge AI.

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