Member of Technical Staff, Agentic Developer Experience
Quick Summary
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,
catered meals, transportation, equipment, and a $10k annual L&D budget
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
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
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.
Responsibilities
~1 min read- →
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.
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
~1 min readLocation & Eligibility
Listing Details
- Posted
- August 25, 2026
- First seen
- September 25, 2026
- Last seen
- September 25, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 16%
- Scored at
- September 25, 2026
Signal breakdown
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