Position Summary:

We are seeking an experienced Developer to join our dynamic team focused on building cutting-edge Agentic AI solutions. This role will be central to the development of a multi-agent system using advanced technologies such as Langraph, Quadrant, and Dgraph. The ideal candidate will have 3-5 years of experience in Python development and a proven track record in designing, developing, and deploying AI-driven systems.

Key Responsibilities:

• Develop and Deploy a multi-agent AI platform using LangGraph, Quadrant, and Dgraph technologies.
• Develop scalable, high-performance solutions with a focus on agentic AI and knowledge graph integration.
• Collaborate with cross-functional teams to ensure seamless integration of AI agents with cloud-based systems.
• Take ownership of the codebase and ensure quality, maintainability, and scalability.
• Utilize Cloud Code and cloud-native development best practices to enhance system efficiency.
• Drive innovation by exploring new frameworks, tools, and methodologies in AI and machine learning.
• Manage containerized applications using Docker and Kubernetes for efficient deployment and orchestration of AI workloads.
• Implement and optimize AI models using VLLM for large-scale language model inference and fine-tuning.

Required Skills & Qualifications:

• 3-5 years of experience in Python development with a focus on AI, machine learning, or systems integration.
• Proven experience building multi-agent solutions and knowledge graph-based systems, particularly using LangGraph, Quadrant, and Dgraph.
• Strong proficiency in Cloud Code and cloud-native development practices.
• Hands-on experience with Docker and Kubernetes for containerization and orchestration of AI workloads.
• Experience working with large-scale language models, particularly using VLLM for inference and fine-tuning.
• Excellent problem-solving and leadership skills, with the ability to guide teams and mentor junior developers.

Preferred:

• Experience in building and deploying distributed systems on cloud platforms (AWS, GCP, Azure).
• Familiarity with reinforcement learning, neural networks, and advanced AI algorithms.

This is an exciting opportunity to be at the forefront of AI-driven automation in a rapidly evolving field. If you are passionate about cutting-edge technology and building scalable multi-agent solutions, we would love to hear from you!

About the role

We are seeking an experienced Developer to join our dynamic team focused on building cutting-edge Agentic AI solutions. This role will be central to the development of a multi-agent system using advanced technologies such as Langraph, Quadrant, and Dgraph. The ideal candidate will have 3-5 years of experience in Python development and a proven track record in designing, developing, and deploying AI-driven systems.

Key Responsibilities:

• Develop and Deploy a multi-agent AI platform using LangGraph, Quadrant, and Dgraph technologies.
• Develop scalable, high-performance solutions with a focus on agentic AI and knowledge graph integration.
• Collaborate with cross-functional teams to ensure seamless integration of AI agents with cloud-based systems.
• Take ownership of the codebase and ensure quality, maintainability, and scalability.
• Utilize Cloud Code and cloud-native development best practices to enhance system efficiency.
• Drive innovation by exploring new frameworks, tools, and methodologies in AI and machine learning.
• Manage containerized applications using Docker and Kubernetes for efficient deployment and orchestration of AI workloads.
• Implement and optimize AI models using VLLM for large-scale language model inference and fine-tuning.

Required Skills & Qualifications:

• 3-5 years of experience in Python development with a focus on AI, machine learning, or systems integration.
• Proven experience building multi-agent solutions and knowledge graph-based systems, particularly using LangGraph, Quadrant, and Dgraph.
• Strong proficiency in Cloud Code and cloud-native development practices.
• Hands-on experience with Docker and Kubernetes for containerization and orchestration of AI workloads.
• Experience working with large-scale language models, particularly using VLLM for inference and fine-tuning.
• Excellent problem-solving and leadership skills, with the ability to guide teams and mentor junior developers.

Preferred:

• Experience in building and deploying distributed systems on cloud platforms (AWS, GCP, Azure).
• Familiarity with reinforcement learning, neural networks, and advanced AI algorithms.

This is an exciting opportunity to be at the forefront of AI-driven automation in a rapidly evolving field. If you are passionate about cutting-edge technology and building scalable multi-agent solutions, we would love to hear from you!

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

• 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

• 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

• 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