Solution Architect - AI Inference Specialist

주요업무

About the job FriendliAI is seeking a Forward Deployed Engineer (FDE) to assist enterprises in deploying, scaling, and operating generative and agentic AI workloads on FriendliAI infrastructure. You will work directly with customers to solve and implement production-grade applications using our products, such as Serverless Endpoints, Dedicated Endpoints, or Container. Friendli Container is our service that allows customers to download our inference engine as Docker images and deploy it in their chosen environment, such as private clouds or on-premises. Our Friendli Container can be adopted directly to AWS EKS clusters using our EKS add-on product. You will work directly on our customers’ projects, collaborating with their engineering teams to solve AI inference challenges like scaling, orchestration, and monitoring. This is a hands-on, customer-embedded role. If you have worked in DevOps, platform engineering, or SRE for AI applications, this is your ideal position. Key Responsibilities Design and implement large-scale deployment architectures for LLM and multimodal inference Deploy and manage containerized workloads across Kubernetes clusters Diagnose production issues, such as performance bottlenecks, and implement temporary fixes as needed Collaborate with customers’ DevOps teams to integrate FriendliAI’s infrastructure into their CI/CD workflows Develop scripts, Helm charts, and Terraform modules that simplify repeated deployments Contribute field insights to shape our platform reliability, observability, and scaling strategies Lead workshops, technical sessions, or webinars to help customers master infrastructure best practices

자격요건

Qualifications 3+ years of experience in cloud infrastructure, DevOps, or reliability engineering Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent Proficiency with Kubernetes, Docker, Terraform, and Helm Strong foundation in distributed systems, networking, and performance tuning Experience with GPU-based computing and generative AI model serving workloads Strong technical background in backend systems or AI tooling Experience operating workloads on AWS, GCP, or OCI Excellent problem-solving and debugging skills in real-world environments

우대사항

Preferred Experience Experience deploying large models (LLMs, diffusion models) on GPUs or clusters Familiarity with inference frameworks (Triton, vLLM, TensorRT, DeepSpeed-Inference) Familiarity with observability stacks (Prometheus, Grafana, Loki, ELK, OTEL) Understanding of networking security and compliance frameworks (e.g., SOC 2) Experience supporting on-prem or hybrid-cloud deployments

기술스택

Docker, Helm, Kubernetes, Terraform, AWS-EKS

채용절차

서류 전형 → 1 차 인터뷰 → 2 차 인터뷰 → 컬처핏 인터뷰 → 최종 합격 근무 형태: 정규직 근무 환경: 유연한 원격 근무 및 필요시 오피스 출근을 병행하는 하이브리드 근무 Aggressive Compensation: 업계 최고 수준의 기본급과 성과에 따른 상한선 없는(Uncapped) 파격적인 커미션 구조 제공 Stock Option: 회사의 성장과 함께 자산 증식이 가능한 스톡옵션 부여 채용 절차는 상황에 따라 일부 변경될 수 있습니다