Frontier of On-device AI Semiconductors
for Everyone, Everywhere
Responsibilities
□ Build and operate an on-premises LLM-based Code Agent workflow infrastructure (orchestration, tool registry, permissions, audit logs)
□ Integrate agents with enterprise systems (e.g., Slack, Jira/Confluence, CRM/ERP, internal DBs) via APIs/webhooks
□ Implement reliability patterns: retries, timeouts, idempotency, fallbacks, and human-in-the-loop handoff
□ Establish evaluation & observability: regression tests, task success metrics, monitoring, and incident response playbooks
□ Optimize developer and automation pipelines using open-source tools and agent APIs (cost/latency/quality tuning)
Qualifications
□ Proven experience shipping LLM/agent workflows to production used by real users or real operations (evidence: demo, repo, write-up, architecture)
□ Hands-on experience with LangGraph, n8n, OpenAI Agents SDK, or similar agent/workflow orchestration tools
□ Experience building LLM-powered automation or developer tooling (e.g., code agents, internal platforms, workflow engines)
□ Strong engineering fundamentals in Python and/or TypeScript, API integration, and systems debugging
□ Practical experience implementing guardrails (access control, safe tool execution, prompt-injection defenses, logging/auditing)
Preferred Qualifications
□ Strong interest in emerging foundation models (e.g., Claude, Mistral) and agent trends; ability to evaluate trade-offs pragmatically
□ Familiarity with Cursor or other AI-augmented coding environments and productivity workflows
□ Experience with static code analysis, repo-scale automation, and building CI/CD pipelines (quality gates, security checks)
□ Experience deploying on-prem services (containers/Kubernetes, secrets management, network policies) and operating them reliably
Recruitment Process
□ Application Review - (Phone Interview) - Technical Interview - Organizational Culture Fit Interview - CEO Interview - Reference Check / Compensation Discussion
※ The recruitment process may vary depending on the position and application content.
※ Candidates with less than 3 years of experience are required to submit their academic transcripts.
Employment Type
□ Full-time (3-month probationary period with 100% compensation)
Working Hours
□ Monday to Friday, 9:00 AM – 6:00 PM (Lunch break: 12:00 PM – 1:00 PM)
Notes
□ If any false information is found in the application or onboarding documents, the job offer may be withdrawn even after confirmation.
□ A 3-month probationary period applies after joining, with no reduction in salary or benefits.
Benefits
□ 모든 정규직 입사자에게 연봉 수준의 스톡옵션 부여
□ 최신 사양 장비 및 최고의 근무 환경 제공 (최신 노트북, 높낮이 조절식 스탠딩 데스크, 모니터암, 듀얼모니터 등 제공)
□ 점심식사 + 아침 & 저녁식사 지원
□ 스낵, 아이스크림, 음료 등 사내 카페 무제한 간식 제공
□ 사우나가 포함된 피트니스 비용 지원
□ 연 1회 종합건강검진 지원 (배우자 포함)
□ 생일, 결혼기념일, 크리스마스이브 축하금 지급 및 조기퇴근 제공
□ 설/추석 명절 상여금 지급
□ 축하와 위로를 위한 경조휴가 및 경조금 지원
Frontier of On-device AI Semiconductors
for Everyone, Everywhere
Responsibilities
□ Build and operate an on-premises LLM-based Code Agent workflow infrastructure (orchestration, tool registry, permissions, audit logs)
□ Integrate agents with enterprise systems (e.g., Slack, Jira/Confluence, CRM/ERP, internal DBs) via APIs/webhooks
□ Implement reliability patterns: retries, timeouts, idempotency, fallbacks, and human-in-the-loop handoff
□ Establish evaluation & observability: regression tests, task success metrics, monitoring, and incident response playbooks
□ Optimize developer and automation pipelines using open-source tools and agent APIs (cost/latency/quality tuning)
Qualifications
□ Proven experience shipping LLM/agent workflows to production used by real users or real operations (evidence: demo, repo, write-up, architecture)
□ Hands-on experience with LangGraph, n8n, OpenAI Agents SDK, or similar agent/workflow orchestration tools
□ Experience building LLM-powered automation or developer tooling (e.g., code agents, internal platforms, workflow engines)
□ Strong engineering fundamentals in Python and/or TypeScript, API integration, and systems debugging
□ Practical experience implementing guardrails (access control, safe tool execution, prompt-injection defenses, logging/auditing)
Preferred Qualifications
□ Strong interest in emerging foundation models (e.g., Claude, Mistral) and agent trends; ability to evaluate trade-offs pragmatically
□ Familiarity with Cursor or other AI-augmented coding environments and productivity workflows
□ Experience with static code analysis, repo-scale automation, and building CI/CD pipelines (quality gates, security checks)
□ Experience deploying on-prem services (containers/Kubernetes, secrets management, network policies) and operating them reliably
Recruitment Process
□ Application Review - (Phone Interview) - Technical Interview - Organizational Culture Fit Interview - CEO Interview - Reference Check / Compensation Discussion
※ The recruitment process may vary depending on the position and application content.
※ Candidates with less than 3 years of experience are required to submit their academic transcripts.
Employment Type
□ Full-time (3-month probationary period with 100% compensation)
Working Hours
□ Monday to Friday, 9:00 AM – 6:00 PM (Lunch break: 12:00 PM – 1:00 PM)
Notes
□ If any false information is found in the application or onboarding documents, the job offer may be withdrawn even after confirmation.
□ A 3-month probationary period applies after joining, with no reduction in salary or benefits.
Benefits
□ 모든 정규직 입사자에게 연봉 수준의 스톡옵션 부여
□ 최신 사양 장비 및 최고의 근무 환경 제공 (최신 노트북, 높낮이 조절식 스탠딩 데스크, 모니터암, 듀얼모니터 등 제공)
□ 점심식사 + 아침 & 저녁식사 지원
□ 스낵, 아이스크림, 음료 등 사내 카페 무제한 간식 제공
□ 사우나가 포함된 피트니스 비용 지원
□ 연 1회 종합건강검진 지원 (배우자 포함)
□ 생일, 결혼기념일, 크리스마스이브 축하금 지급 및 조기퇴근 제공
□ 설/추석 명절 상여금 지급
□ 축하와 위로를 위한 경조휴가 및 경조금 지원