5-7 years in building internal platforms or developer tooling that transformed engineering practices.
Proficient in software fundamentals: distributed systems, platform architecture, CI/CD, API design.
Hands-on experience with coding agents like Claude Code or Codex in real projects.
Expertise in designing secure interfaces and sandboxed runtimes for agents.
Background in evaluating LLM systems with a focus on accuracy, reliability, and cost.
Fluency in TypeScript, Python, or Go, with a grasp of cloud infrastructure and orchestration systems.
Current knowledge of modern AI techniques and when to apply them.
Responsibilities
Map Vapi's path from task to production, identifying constraints and improving the sandbox environment.
Launch the initial production workflow in Vapi's internal software factory.
Equip background agents with tools and telemetry for context and automated quality control.
Develop a platform for autonomous, background engineering in the voice AI domain.
Create a harness for agents to place calls and measure various performance metrics.
Establish foundational systems for accelerating the engineering process.
Iterate and enhance the platform based on feedback and performance analysis.
Benefits
Competitive salary and equity ownership.
Comprehensive health coverage including medical, dental, and vision plans.
Flexible time off policy to support work-life balance.
Catered meals and team-building quarterly off-sites.
Annual learning and development budget of $10,000.
Full Job Description
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
