北京可利邦 is a small AI services firm operating on a Python + PyTorch + TensorFlow stack with infrastructure (Kubernetes, Docker, Kafka) and cloud platforms (Alibaba Cloud). The hiring profile—22 sales roles against 5 engineers—reveals a services-delivery model where sales volume outpaces technical capacity, a common pattern in implementation-heavy consulting. Active projects span client AI deployments, knowledge graphs, and finance-sector AI architecture, while stated pain points center on managing large-model application demands and cross-team execution.
北京可利邦 provides AI application implementation and deployment services to enterprise clients in China. The company operates across multiple service areas: client-facing AI application builds, product upgrades, large-language-model integrations, and domain-specific work in finance and knowledge-graph systems. At ~6 headcount with 28 open roles and majority sales staffing, the org is in growth mode but faces execution constraints—pain points explicitly cite project-progress management, system integration scaling, and operational bottlenecks. All hiring is currently in China.
Python, PyTorch, TensorFlow for ML; Kubernetes, Docker, Kafka for infrastructure; MySQL, Redis, Elasticsearch for data; Alibaba Cloud for cloud services; and NVIDIA GPU/CUDA for compute.
Client AI application deployments, large-model integrations, knowledge-graph development, AI agent and prompt engineering, and AI architecture for finance sector. Also managing product stability and bid-document integration.
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