주식회사 메타써치 [국내 바이오 제약 대기업]AI Engineer 우리 회사를 한 줄로 표현해주세요 우리 회사에 대해 4줄 이내로 소개해주세요 모집부문 및 자격요건 모집부문 담당업무 자격요건 인원 AI Engineer [담당업무] Role Description The AI Engineer will join the AI Transformation (AX) team, which drives enterprise-wide AI initiatives in direct partnership with business functions—including Supply Chain Management and Commercial—as well as Staff and corporate functions, converting manual, step-driven workflows into intelligent, automated services. This is a hands-on individual contributor role: working with the team lead and business stakeholders, the engineer will identify practical opportunities within our portfolio of AX projects, define an appropriate technical approach, and build, deploy, and operate production-ready AI services. Within this portfolio, the engineer will productionize AI models and prototypes developed by AI scientists into robust, scalable applications, while also directly building AI-native services such as agentic AI systems, multi-agent workflows, LLM-based applications, and RAG pipelines. The role carries a high degree of freedom in technology choices, and calls for openness to a wide range of stacks and frameworks—selecting and adapting them to fit the situation and the available infrastructure. Building visibility and observability into pipelines from the outset, and using that instrumentation to monitor, diagnose, and continuously improve the overall system architecture, is a core part of the work. Because AX projects span multiple functions and move at different speeds, this role rewards broad, cross-functional experience over deep specialization in a single domain. Success depends as much on communicating well with non-technical stakeholders and learning unfamiliar technologies by doing as it does on engineering depth. Staying current with emerging AI and engineering trends is essential, and contributions to shared best practices and reusable templates that accelerate delivery across projects are encouraged and valued. Qualifications: • Education: Bachelor's degree or higher in Computer Science, Engineering, or a related field. • Experience: 5 to 15 years of professional experience, including building and deploying machine learning or AI systems in production. An awarded Ph.D. in a relevant field counts as 5 years toward this requirement (other degrees do not count toward the years requirement). A track record across multiple, diverse AI/DT/IT projects is strongly preferred over deep specialization in a single domain. • Required Skills: o Strong proficiency in Python, with the ability to work in additional languages as needed. o Hands-on experience with generative AI and LLM ecosystems, including prompt engineering, retrieval-augmented generation (RAG), agentic AI systems, and multi-agent orchestration frameworks. o Experience deploying and managing AI models and services in production—on cloud platforms (AWS or Azure), on-premises servers, or hybrid environments combining both. o Proven experience embedding observability into production pipelines (logging, metrics, tracing, alerting), and using those signals to improve system and infrastructure architecture. o Proficiency in SQL for data analysis and pipeline development. o Solid grounding in software engineering practices: CI/CD, containerization (Docker, Podman), automated testing, and version control. o Ability to code and debug independently, with full responsibility for understanding, validating, and maintaining every piece of delivered code—including any produced with the help of AI coding assistants. • Domain knowledge: Ability to quickly learn complex, multi-domain business environments—Commercial, SCM, Marketing, and Staff functions—and connect them to practical technical solutions. • Other skills: Strong strategic thinking and problem-solving, paired with the interpersonal skills to work closely with non-technical stakeholders and translate their needs into AI- enabled services. A practical, resourceful working style and the agility to thrive in a fast- paced, startup-like environment. • English Proficiency: Professional-level English communication skills are required. • Preferred: o Advanced degree (Master's or Ph.D.) in a relevant field. o Experience operating containerized applications using Kubernetes or a comparable orchestration platform. o Understanding of IT infrastructure and enterprise systems integration (APIs, authentication, networking, and security fundamentals). o Experience with workflow orchestration or distributed data processing tools such as Airflow, Dagster, or Spark. o Hands-on experience with modern data warehouses such as Snowflake. o Exposure to MLOps concepts (model registries, experiment tracking, monitoring, automated retraining). o Experience with AI-assisted development and rapid prototyping workflows. o Experience leading projects or technical workstreams, or mentoring junior engineers. o Experience working in regulated industries (e.g., biopharma, healthcare, finance). o A portfolio of successfully launched AI/ML projects across multiple business domains [자격요건] 경력: 경력 5~15년 학력: 대졸 직무기술: AI개발, ML, AI Engineer 0 명 근무조건 고용형태: 정규직 급여조건: 회사내규 전형단계 및 제출서류 전형단계: 서류전형 >; 면접진행 >; 최종심사 >; 최종합격 추가 제출서류 이력서, 자기소개서, 경력기술서 접수방법 접수방법: 인크루트 접수, 이메일 접수양식: 인크루트 이력서 기타 유의사항 입사지원서 및 제출서류에 허위사실이 있을 경우 채용이 취소될 수 있습니다. 00
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