Client Engineering - AI Engineer (대졸신입)

IBM

IBM

Software Engineering, Data Science

Seoul, South Korea

Posted on Apr 30, 2026
Introduction

[한국 IBM] Technology 부서 대졸 신입사원 채용

- 근무지: 서울 0명

- 입사예정일: 2026년 7월 6일 (채용 전형 진행에 따라 변경될 수 있습니다.)

* 지원자격 및 우대사항

- 지원 자격: 국내외 대학 4년제 이상 졸업자 혹은 26년 8월 졸업 예정자 (단, 26년 7월 6일부터 입사가능자)

- 우대 사항: 관련 경력 1년 미만 (인턴기간 포함)

* 고용 형태

정규직

* 전형절차

- 1차 서류 심사 (지원서 접수 마감: 2026년 5월 6일 수요일 오전 9시)

- 2차 실무 면접

- 3차 임원 면접 (PT 면접 포함)

*모든 면접은 대면 면접으로 진행될 예정입니다.

※ 이력서 제출시, 반드시 영문이력서 제출 필요

※ 서류전형 합격자에 한하여 개별적으로 면접 일정 확정 예정

Your role and responsibilities

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Your primary responsibilities will include:

  • Build pilots, prototypes, agent workflows for client POC: Engage in developing AI services and deploying AI platform to solve real-world business problems in various industries using the IBM watsonx platform. This involves covering all stages of the AI solution lifecycle and Co-lead technical workshops withs ales team as well.
  • Cover AI Solution Lifecycle: Perform tasks across the AI solution lifecycle, including Data Engineering, Train, Validate, Tune, Deploy, AI Operations, and AI Governance to create a trusted end-to-end AI solution.

Day-to-Day Duties:

  • AI-Native PoC Development: Design and implement AI-native Proofs of Concept (PoCs) and agentic workflows using platforms such as watsonx Orchestrate and IBM BoB to demonstrate tangible business value. Collaborate with product and cross-functional teams to develop scalable, repeatable solution patterns and rapidly iterate on architectures to accelerate adoption and long-term success.
  • Client Engagement and Technical Wins: Engage closely with enterprise clients to identify strategic business priorities, technical challenges, and unmet needs, and convert them into actionable AI solution strategies that drive technical success and business impact.
  • Documentation and Knowledge Sharing: Document solution architectures, key design decisions, implementation details, and lessons learned in a structured manner. Produce technical documentation, white papers, and best practice guides, while contributing to internal knowledge sharing and capability development across the organization.

Industry Trends and Innovation: Stay up to date with the latest trends and advancements in Agentic AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.

Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline, or equivalent practical experience
  • Strong Python programming skills and solid software engineering fundamentals, including hands-on development experience in Git and Linux environments
  • Good understanding of machine learning and deep learning fundamentals, with hands-on experience using frameworks such as PyTorch, TensorFlow, or Keras
  • Understanding of Foundation Models and Large Language Models (LLMs), with hands-on experience or project experience in NLP, text analytics, or related areas
  • Basic knowledge of data engineering principles and practices to support the development and deployment of AI systems
  • Strong analytical and problem-solving skills, with the ability to approach technical challenges in a structured way and a strong willingness to learn new technologies
  • Excellent interpersonal and cross-functional collaboration skills
  • Fluent in Korean and proficient in English, sufficient for business communication and collaboration
Preferred technical and professional experience
  • Public technical contributions, such as research papers, technical blog posts, or open-source contributions
  • Experience integrating AI systems or connecting AI agents with business systems using OpenAPI, MCP (Model Context Protocol), or similar technologies
  • Hands-on or project experience with Generative AI and Agentic AI using LLM orchestration frameworks such as LangChain or LangGraph, including agent architecture, tool use, multi-step reasoning, and workflow design
  • Understanding of metrics and evaluation methodologies for model performance, retrieval quality, and agent behavior
  • Experience with or understanding of collaborative development methodologies such as Agile and Scrum
  • Understanding of or hands-on experience with Docker- and Kubernetes-based cloud-native environments
  • Experience with enterprise Kubernetes platforms such as Red Hat OpenShift
  • Experience deploying and operating AI/ML workloads or applications on public cloud platforms such as AWS, Azure, or GCP

ABOUT BUSINESS UNIT

IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company’s Global Markets organization is a strategic sales business unit that manages IBM’s global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients’ growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

For additional information about location requirements, please discuss with the recruiter following submission of your application.

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