
1 - 10 employees
Founded 2025
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Concentrate AI is a SaaS platform that provides unified API access, orchestration, and governance for large language models (LLMs). It enables engineering teams to route requests across multiple model providers, apply least-cost routing, caching, and spend management, and gain unified analytics, logging, and billing without vendor lock-in. The platform also offers compliance and security features—data redaction, RBAC, auditing, and SSO—so finance, compliance, and engineering leadership can control costs, enforce guardrails, and maintain observability across all AI usage.
🕒 March 28
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1 - 10 employees
Founded 2025
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Concentrate AI is a SaaS platform that provides unified API access, orchestration, and governance for large language models (LLMs). It enables engineering teams to route requests across multiple model providers, apply least-cost routing, caching, and spend management, and gain unified analytics, logging, and billing without vendor lock-in. The platform also offers compliance and security features—data redaction, RBAC, auditing, and SSO—so finance, compliance, and engineering leadership can control costs, enforce guardrails, and maintain observability across all AI usage.
• Work closely with customers to understand LLM deployment needs and solve technical problems in production • Debug issues end to end across application behavior, AI API integrations, infrastructure, and model and provider performance across OpenAI, Anthropic, Gemini, and open source models • Build product features, internal tools, and platform improvements based on patterns you see in the field • Improve multi-provider routing, LLM reliability, AI observability, latency, and token cost efficiency across multiple LLM providers • Help customers reduce AI infrastructure costs, navigate rate limits, and architect for provider failover and redundancy • Partner closely with founders on customer deployments, product direction, and technical strategy
• Strong technical ability and high ownership • Strong debugging instincts across backend systems, AI APIs, infrastructure, and customer environments • Experience working with or around LLM APIs, model routing, or AI spend management is a strong plus • Comfort working directly with customers and operating in ambiguity • Startup experience or experience in fast-moving, high-ownership environments • Likely 5–12 years of experience, with flexibility for exceptional candidates • Experience with some of: Python, TypeScript/Node.js, PostgreSQL, Redis, AWS, Docker, Kubernetes, Terraform, and CI/CD workflows • Clear written and verbal communication skills • Fluent English required
• Strong equity
Apply Now🕒 March 28
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