
[SW] AI Agent-Based Workflow Automation Engineer
About the role
Frontier of On-device AI Semiconductors
for Everyone, Everywhere
Responsibilities
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Build and operate an on-premises LLM-based Code Agent workflow infrastructure (orchestration, tool registry, permissions, audit logs)
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Integrate agents with enterprise systems (e.g., Slack, Jira/Confluence, CRM/ERP, internal DBs) via APIs/webhooks
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Implement reliability patterns: retries, timeouts, idempotency, fallbacks, and human-in-the-loop handoff
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Establish evaluation & observability: regression tests, task success metrics, monitoring, and incident response playbooks
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Optimize developer and automation pipelines using open-source tools and agent APIs (cost/latency/quality tuning)
Qualifications
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Proven experience shipping LLM/agent workflows to production used by real users or real operations (evidence: demo, repo, write-up, architecture)
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Hands-on experience with Lang Graph, n8n, OpenAI Agents SDK, or similar agent/workflow orchestration tools
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Experience building LLM-powered automation or developer tooling (e.g., code agents, internal platforms, workflow engines)
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Strong engineering fundamentals in Python and/or TypeScript, API integration, and systems debugging
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Practical experience implementing guardrails (access control, safe tool execution, prompt-injection defenses, logging/auditing)
Preferred Qualifications
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Strong interest in emerging foundation models (e.g., Claude, Mistral) and agent trends; ability to evaluate trade-offs pragmatically
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Familiarity with Cursor or other AI-augmented coding environments and productivity workflows
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Experience with static code analysis, repo-scale automation, and building CI/CD pipelines (quality gates, security checks)
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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
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If any false information is found in the application or onboarding documents, the job offer may be withdrawn even after confirmation.
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A 3-month probationary period applies after joining, with no reduction in salary or benefits.
Benefits
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모든 정규직 입사자에게 연봉 수준의 스톡옵션 부여
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최신 사양 장비 및 최고의 근무 환경 제공 (최신 노트북, 높낮이 조절식 스탠딩 데스크, 모니터암, 듀얼모니터 등 제공)
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점심식사 + 아침 & 저녁식사 지원
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스낵, 아이스크림, 음료 등 사내 카페 무제한 간식 제공
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사우나가 포함된 피트니스 비용 지원
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연 1회 종합건강검진 지원 (배우자 포함)
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생일, 결혼기념일, 크리스마스이브 축하금 지급 및 조기퇴근 제공
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설/추석 명절 상여금 지급
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축하와 위로를 위한 경조휴가 및 경조금 지원
Benefits and perks
•Healthcare
•Equity
•Performance Bonus
•Paid Time Off
•Free Meals
•Gym Membership
•Home Office Setup
•Wellness Programs
•Retirement Plan
Required skills
Machine learning
AI research
Model evaluation
About DeepX
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Headquarters