# Member of Technical Staff, Agentic Developer Experience at Vapi

- Company: Vapi
- What the company does: Build, test, and deploy advanced voice AI agents in minutes with Vapi. The platform for developers creating conversational voice AI. Backed by Bessemer, Peak XV and Y Combinator.
- Company website: https://vapi.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: Remote
- Posted: 2026-08-25
- Apply by: 2026-10-09
- Apply: https://jobs.ashbyhq.com/vapi/0d4f1420-2590-4a38-aac4-3efda12eadb0
- Page: https://www.1752.vc/careers/jobs/vapi-member-of-technical-staff-agentic-developer-experience/

## About the role

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.

## What they're looking for

- 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

Tags: Engineering