AI Hiring Index

Vapi · Research · Unspecified · Posted 2026-08-25

Member of Technical Staff, Agentic Developer Experience

Vapi · San Francisco

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Vapi (/ˈVɑːpi/):

- Voice AI that resolves, not transfers

- Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life

- Trusted by 1 million developers building the future of voice agents

- Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised

- Try talking to Vapi now! https://vapi.ai/

Vapi (/ˈVɑːpi/):

- Voice AI that resolves, not transfers

- Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life, Uber, NHS

- Trusted by 1 million developers building the future of voice agents

- Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised

- Try talking to Vapi now! https://vapi.ai/

Why We’re Hiring This Role:

- Vapi engineers are already building agent skills, workflows, and tools. We need a dedicated owner to turn these fragmented pieces into one reliable agentic development lifecycle.

- We have an opportunity to connect sandboxes, CI, verification, and background agents into a cohesive system that compounds across every engineering team.

- We want to ship 10× faster by building the frontier agent harness for real-time voice AI. Agents will place real calls, validate their work against Vapi-specific systems, and ship with confidence.

What You’ll Do:

- 30 Days: Map and instrument Vapi’s path from task to production, identify the largest constraints on agent effectiveness, and ship your first improvements to our sandbox environment, developer tooling, or validation infrastructure.

- 60 Days: Launch the first production workflow in Vapi’s internal software factory. Give background agents the context, tools, sandbox, telemetry, and automated quality gates required to turn scoped tasks into review-ready PRs backed by real evidence.

- 90 Days: Own and launch Vapi’s platform for autonomous, background engineering. Bring the ambition of Ramp Inspect https://builders.ramp.com/post/why-we-built-our-background-agent and Stripe Minions https://stripe.dev/blog/minions-stripes-one-shot-end-to-end-coding-agents to the technically novel and difficult frontier of real-time voice AI. Build a harness that lets agents place real calls, measure latency, conversation quality, inspect telemetry, and iterate to a verified result. Create the foundation that accelerates every engineer and puts Vapi on a credible path to shipping 10× faster.

Who You Are:

- You have built internal platforms, developer tooling, or infrastructure that materially changed how engineers build, test, and ship software.

- You are a hands-on engineer with strong software fundamentals across distributed systems, platform architecture, API design, CI/CD, and monorepo or large-codebase workflows.

- You have practical experience building agent harnesses and using coding agents such as Claude Code, Codex, Cursor, or open-source equivalents on real engineering work.

- You know how to design secure agent interfaces, MCP integrations, and sandboxed runtimes where agents can call APIs, run CLI commands, and use general-purpose tools safely.

- You have built or operated online and offline LLM evaluation systems and can reason clearly about accuracy, latency, reliability, and cost.

- You are fluent in at least one of TypeScript, Python, or Go and comfortable working across containers, databases, queues, orchestration systems, and modern cloud infrastructure.

- You stay current on frontier models and techniques such as prompt caching, context compression, retrieval, and multi-agent coordination, and you know when the newest tool is useful versus distracting.

- You thrive in ambiguity, seek raw input, and turn fragmented experiments into simple systems that other engineers want to use.

How We Work:

- Build something worthy of love: Craft matters. We build products and experiences customers genuinely love, not just tolerate.

- Commit and follow through: We finish what we start and build tru …

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