Member of Technical Staff, Agentic Developer Experience
Vapi
Vapi is the platform for deploying voice agents that know your business and can listen, adapt, and resolve in minutes. The company has a diverse customer base including Amazon Ring, ServiceTitan, New York Life, Intuit, Kavak, and many others, from YC startups to Fortune 500 companies. Vapi recently raised a $50M Series B round led by Peak XV Partners, bringing the total funding to $72M.
Why We’re Hiring
We are looking for a dedicated owner to turn the fragmented pieces of Vapi’s development lifecycle into a reliable one. The role involves owning and launching Vapi’s platform for autonomous, background engineering, building a harness for real-time voice AI, and creating the foundation that accelerates every engineer.
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 and Stripe Minions to the 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 trust by being people others can count on.
Why not today? We value urgency and momentum. The fastest path to customer value usually wins.
Seek raw input: We go directly to customers, data, and teammates instead of relying on summaries or assumptions.
It’s our problem: We operate as one team. We share credit, own mistakes together, and support each other when things get hard.
Be direct and kind: We give feedback clearly, respectfully, and without delay.
What We Offer
Real stake: We offer a competitive salary and equity ownership.
Comprehensive health coverage: medical, dental, and vision plans.
Team love: We love hanging out, and we do quarterly off-sites.
Flexible time off: take what you need.
More: catered meals, transportation, equipment, and a $10k annual L&D budget.