Lead AI Engineer

gruve· Data & AI

📍 Seoul, Seoul, South Korea🗓 Posted Apr 14, 2026

About this role

About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Summary

Gruve의 Lead AI Engineer는 기업용 AI 솔루션의 제안(Pre-sales)부터 실제 구축(Delivery)까지의 전 과정을 진두지휘하는 핵심 리더입니다.

기술적 깊이는 물론, 비즈니스 관점에서 고객의 문제를 정의하고 팀을 이끌어 솔루션을 성공적으로 안착시킬 수 있는 분을 모십니다. 컨설팅 및 SI 환경에서 고성능 엔지니어링 팀을 리드해 본 경험이 있는 분이라면 Gruve의 AI 전환(AX) 여정에 큰 힘이 될 것입니다.

주요 업무

팀 리딩 및 성장: AI/ML 엔지니어 팀을 구성하고, 개개인의 기술적 역량 강화와 성과 관리를 책임집니다.
기술 제안 및 설계: 세일즈 팀과 협력하여 고객사의 요구사항을 분석하고, 최적의 AI 아키텍처 제안 및 기술 데모를 주도합니다.
엔드 투 엔드(End-to-End) 딜리버리: 솔루션의 설계부터 실제 배포, 안정화까지 전체 프로젝트 생애 주기를 관리하며 품질과 확장성을 보장합니다.
기술 자문: 엔터프라이즈 고객의 신뢰받는 기술 파트너로서, 프로젝트 전 과정에서 전문적인 인사이트를 제공합니다.
엔지니어링 표준 수립: MLOps 도입, 시스템 아키텍처 고도화 등 팀 내 엔지니어링 모범 사례(Best Practice)를 정의하고 전파합니다.

자격 요건

5년 이상의 소프트웨어 엔지니어링 경력 (AI/ML 관련 프로젝트 경험 필수)
피플 매니징 경험: 팀 빌딩, 채용, 성과 관리 등 팀 리더로서의 실질적인 경험이 있으신 분
기술 제안(Pre-sales) 경험: 고객 대상 솔루션 제안 및 기술 프리젠테이션이 가능하신 분
AI/ML 도메인 지식: NLP, LLM, 데이터 플랫폼 등 최신 AI 기술에 대한 깊은 이해도를 보유하신 분
영어 커뮤니케이션: 글로벌 팀 및 고객사와 원활한 비즈니스 소통(메일, 회의)이 가능하신 분

우대 사항 (Preferred Qualifications)

IT 컨설팅, 전문 서비스(Professional Services), 또는 SI 환경에서의 근무 경험
MLOps 구축, 클라우드 플랫폼(AWS/GCP/Azure), Kubernetes 기반 대규모 배포 경험
엔터프라이즈급 AI 전환(AX) 프로젝트 또는 대규모 AI 솔루션 도입 완수 경험
생성형 AI(GenAI) 및 LLM 기반 애플리케이션 아키텍처 설계 경험
글로벌 협업 환경 또는 다국적 팀 매니징 경험

Summary

Gruve is seeking an experienced Engineering Manager to lead both pre-sales and delivery of AI solutions for enterprise clients. This role requires a strong combination of technical depth, people leadership, and client engagement experience, with the ability to support solutioning in pre-sales while ensuring successful execution during delivery.

The ideal candidate brings experience in professional services or consulting environments, strong communication skills in English, and a proven track record of managing high-performing engineering teams.

Responsibilities

Lead and manage a team of AI/ML engineers, including hiring, coaching, and performance management
Drive both pre-sales and delivery activities, including solution design, client presentations, and project execution
Partner with sales and pre-sales teams to shape AI opportunities and develop technical proposals
Own end-to-end delivery of AI/ML solutions, ensuring quality, scalability, and client satisfaction
Act as a trusted technical advisor to enterprise clients throughout the engagement lifecycle
Define and enforce best practices in AI engineering, MLOps, and system architecture
Provide hands-on technical guidance when needed, especially in complex solutioning scenarios
Manage project timelines, resources, risks, and stakeholder communication
Collaborate with global teams to align on strategy and execution

Basic Qualifications

5+ years of experience in software engineering, with strong exposure to AI/ML
Proven experience as a people manager (team leadership, hiring, performance management)
Demonstrated experience in both pre-sales and delivery roles
Strong understanding of AI/ML technologies (e.g., NLP, LLMs, data platforms)
Experience designing and delivering scalable, production-grade systems
Excellent communication skills in English (verbal and written)
Ability to operate effectively in client-facing, fast-paced environments

Preferred Qualifications

Experience in professional services, consulting, or SI environments
Hands-on experience with MLOps, cloud platforms (AWS, GCP, Azure), and Kubernetes
Experience supporting enterprise-level AI transformations or large-scale deployments
Familiarity with GenAI / LLM-based applications and architectures
Experience working in global or cross-regional teams

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Frequently Asked Questions

Is the salary disclosed for the Lead AI Engineer position at gruve?

The salary for this Lead AI Engineer role at gruve is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.

Where is the Lead AI Engineer position at gruve located?

This Lead AI Engineer role at gruve is based in Seoul, Seoul, South Korea. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.

Which team or department does the Lead AI Engineer at gruve belong to?

This Lead AI Engineer position is part of the Data & AI department at gruve. See the full job description for more information about the team structure and responsibilities.

How do I apply for the Lead AI Engineer position at gruve?

Click the "Apply Now" button on this page. You will be redirected to gruve's official application portal hosted on greenhouse where you can submit your application directly.

When was the Lead AI Engineer job at gruve posted?

This Lead AI Engineer position at gruve was posted on Apr 14, 2026. Apply as soon as possible — early applications are often reviewed first.

Lead AI Engineer

gruve

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