채용정보

대기업 계열사 의료제약

(마감)AI Engineer

  • 판교
  • 선임~책임급 선임~책임급 선임~책임급
  • ~ 2026-08-11
  • 업종화학,에너지,의료제약,소비재
  • 직종정보 통신직
  • 접수기간
    2026-07-29 ~ 2026-08-11
  • 기업규모
    국내 / 소기업
  • 직급 · 직책
    대리급~차장급
  • 학력조건
    대졸 이상

담담업무

***관리자메모 필독 요망***

AI Engineer, AX

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.

자격요건

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:

> Strong proficiency in Python, with the ability to work in additional languages as needed.

> Hands-on experience with generative AI and LLM ecosystems, including prompt engineering, retrieval-augmented generation (RAG), agentic AI systems, and

multi-agent orchestration frameworks.

> Experience deploying and managing AI models and services in production—on cloud platforms (AWS or Azure), on-premises servers, or hybrid environments

combining both.

> Proven experience embedding observability into production pipelines (logging, metrics, tracing, alerting), and using those signals to improve system and

infrastructure architecture.

> Proficiency in SQL for data analysis and pipeline development.

> Solid grounding in software engineering practices: CI/CD, containerization (Docker, Podman), automated testing, and version control.

> 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:

> Advanced degree (Master's or Ph.D.) in a relevant field.

> Experience operating containerized applications using Kubernetes or a comparable orchestration platform.

> Understanding of IT infrastructure and enterprise systems integration (APIs, authentication, networking, and security fundamentals).

> Experience with workflow orchestration or distributed data processing tools such as Airflow, Dagster, or Spark.

> Hands-on experience with modern data warehouses such as Snowflake.

> Exposure to MLOps concepts (model registries, experiment tracking, monitoring, automated retraining).

> Experience with AI-assisted development and rapid prototyping workflows.

> Experience leading projects or technical workstreams, or mentoring junior engineers.

> Experience working in regulated industries (e.g., biopharma, healthcare, finance).

> A portfolio of successfully launched AI/ML projects across multiple business domains.

전형절차

서류-필기시험(인/적성)-실무진 면접(영어면접)-임원면접-CEO면접

제출서류

HR맨파워그룹 양식 이력서 혹은 이에 준하는 자유양식(국문)

표준 추천인력 요약 양식(엑셀 파일 양식 변경됨_200928 )

이력서 제출 ▶ E-mail : ksk@hrman.co.kr

Mobile : 010-3251-9317

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