
11 - 50 employees
Founded 2016
🏥 Healthcare
🏨 Hospitality
📣 Marketing
Healthcare • Hospitality • Marketing
Collaboration. Ai is a software company that specializes in enhancing teamwork and innovation through intelligent networking solutions. Their products, including NetworkOS, CrowdVector, and TeamCreator, are designed to connect people around ideas, evaluate and expand professional networks, and optimize collaborative opportunities. Trusted by organizations like the US Air Force and PWC, Collaboration. Ai aims to foster thriving ecosystems that drive transformation and innovation in various sectors.
🔥 2 minutes ago
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11 - 50 employees
Founded 2016
🏥 Healthcare
🏨 Hospitality
📣 Marketing
Healthcare • Hospitality • Marketing
Collaboration. Ai is a software company that specializes in enhancing teamwork and innovation through intelligent networking solutions. Their products, including NetworkOS, CrowdVector, and TeamCreator, are designed to connect people around ideas, evaluate and expand professional networks, and optimize collaborative opportunities. Trusted by organizations like the US Air Force and PWC, Collaboration. Ai aims to foster thriving ecosystems that drive transformation and innovation in various sectors.
• Ship production agent systems — design, build, and operate. • Operationalize LLM quality — build eval and observability layer. • Engineer data pipelines — robust ingestion of documents. • Own retrieval quality — hybrid search combining various techniques. • Build custom MCP tools and Agent Skills for efficiency. • Execute alongside the team — pair with full-stack engineers.
• 7+ years of professional software engineering experience. • 3+ years focused on AI/ML or data engineering. • Production agentic/LLM application experience. • Data engineering background for AI/ML workloads. • LLM operations experience for production systems. • Production retrieval experience with vector databases. • Modern Python stack proficiency. • Experience with Docker, Kubernetes, and AWS. • US citizenship required (DoD contracting).
• Real AI engineering, not a wrapper shop. • Production agents, hybrid retrieval, continuous evals. • Autonomy to shape how it's built. • Defense, healthcare, and regulated industries. • Small, senior team with early-stage impact.
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