Member of Technical Staff, Agentic Developer Experience
Vapi is hiring a Member of Technical Staff, Agentic Developer Experience for a remote role open to applicants in United States. Level rates it ; you can apply on Vapi.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include Claude, Cursor and Claude Code.
- Level classifies it as a mid-level role.
- Level lists 5 other open roles at Vapi.
AI in this role
Build autonomous background engineering agents, developer tooling, and testing harnesses for real-time voice AI at Vapi.
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
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
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 and Stripe Minions 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 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.
Why Vapi:
Generational impact: Build the human interface for every business
Ownership culture: 30% of us are previous founders
Kind team: The founders, Jordan and Nikhil, are Canadians
Tier-1 investors: YC, Kleiner Perkins, Bessemer, M12, Peak XV, and more
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
How we rate this
Member of Technical Staff, Agentic Developer Experience at Vapi rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide that one model's output is better than another's for a given task?
- What have you built with speech recognition or text-to-speech, and where did it break?
- Tell me about a project where developer tooling was part of your work. What did you do?
- Tell me about a project where autonomous agents was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Evaluation, Speech, Developer Tooling, Autonomous Agents, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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