
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 26
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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.
• Build, run, and debug LLM applications on top of Concentrate • Work on production workloads (customer-facing and internal), stress test the platform, and share feedback and learnings with the product team • Build LLM-powered services, workflows, and applications using Concentrate • Integrate with real production applications and environments • Design reliable interactions with LLMs (OpenAI, Anthropic, Gemini, OSS), including prompts, tool calling, evals, and guardrails • Debug failures across models, APIs, and infrastructure • Write code, scripts, and small tools to test system behavior at scale • Reproduce bugs, isolate root causes, and clearly document findings • Drive improvements to APIs, defaults, and overall developer experience
• Hands-on experience integrating LLMs via APIs in production • Always building tools, scripts, side projects, or experiments to test ideas and learn fast • Strong Python; TypeScript is a plus • Comfortable with REST APIs, async systems, and production debugging • Curious about model behavior under load, failure, and edge cases • Familiarity with tool calling, agents, multi-step workflows, or MCPs • Strong code quality and technical judgment • Comfortable operating in early-stage environments with speed and ambiguity • Clear async communication (Slack, written updates, concise docs) • Fluent written and verbal English required for documentation, incident response, and technical and business presentations. • Bonus: active open-source contributor
• Base + bonus + meaningful equity
Apply Now🕒 March 26
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