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Member of Technical Staff, Backend

Vapi · San Francisco

$200k–280k/yr Hybrid Staff
ObservabilityThroughputTypeScriptPythonLLM-as-judgeEval harnessesLatencyTool useOrchestrationMulti-agentLangSmithLangChainLlamaIndexRAGEmbeddingsRerankingPineconeWeaviatepgvectorQdrantMilvusHugging FaceOpenAI APIAnthropic APIMCPGPUPyTorchTensorFlowDeep learningNLPComputer visionKubernetesDockerRayKubeflowSageMakerVertex AIAWSGCPAzureCI/CDLoRAPEFTRLHFDPODistillationvLLMTritonTensorRTQuantization

Voice AI that resolves, not transfers. Most phone systems trap callers in menus and scripts. Vapi is the platform for deploying voice agents that know your business and can listen, adapt, and resolve in minutes. - The numbers: 1 billion calls. 1 million developers. 10x enterprise ARR growth - The customers: Amazon Ring, ServiceTitan, New York Life, Intuit, Kavak, and thousands more, from YC startups to the Fortune 500 - The news: a $50M Series B led by Peak XV Partners, with Bessemer Venture Partners, Kleiner Perkins, M12 (Microsoft's Venture Fund), Y Combinator, and our earlier backers. Total raised: $72M MEMBER OF TECHNICAL STAFF, BACKEND WHY WE’RE HIRING THIS ROLE - 1M+ developers and 2.7M+ agents are built on our product surface. - Every assistant lives in our dashboard: Composer, Simulations, Monitoring, Knowledge Base, Versioning, Deployments. Non-deterministic systems, real-time call observability, eval loops, and a builder UX that has to feel like magic. - We’re shipping the loops that take an agent from "demo" to "live in production for the Fortune 500." - It's freakin hard and a lot of fun.     WHAT YOU’LL DO First 30 Days: - Make real calls. Build real assistants on Vapi across our main provider integrations (LLMs, STT, TTS, telephony). Get a working mental model of the platform end to end. - Ship your first product feature into customer hands.   By 60 Days: - Own a product area outright within the agent self-improvement loop or the trust and guardrails platform. - Drive a feature from spec to ship with PM and design, including the eval and rollout loops. - Use AI coding agents (Claude Code, Cursor, or similar) as a serious lever on your throughput.   By 90 Days: - Operate as a full peer to engineers on the team, owning your area without handholding. - Run the agent improvement loop end to end in your domain: authoring, evaluation, deployment, observation, iteration. - Be a core voice in product decisions, w

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