About the role
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
Why We’re Hiring This Role:
More than 1 million developers have built 2.7M+ agents on Vapi. Every assistant depends on a growing product surface—from Composer, Simulations, Monitoring, and Knowledge Base to Versioning and Deployments.
Behind those experiences are hard backend product problems: durable APIs and data models, real-time and asynchronous workflows, observability, evaluations, guardrails, and reliable operation of non-deterministic systems.
We’re hiring a backend product engineer to own those systems end to end and help customers move voice agents from a compelling demo to dependable production—at Fortune 500 scale. The work is genuinely hard and unusually fun.
What You’ll Do:
30 Days: Make real calls and build real assistants across LLM, speech-to-text, text-to-speech, and telephony integrations. Develop a working mental model of how Vapi’s product surfaces map to APIs, services, data systems, and production workflows, then ship your first scoped backend product improvement.
60 Days: Own a meaningful backend area in agent self-improvement, trust, or guardrails. Take a customer problem from product spec to shipped system—designing the API, services, and data model; defining evaluation and rollout criteria; and instrumenting the result. Use AI coding agents thoughtfully as a throughput and quality lever.
90 Days: Operate as an independent owner for a customer-facing backend area. Run the full improvement loop—authoring, evaluation, deployment, observation, and iteration—while improving reliability and developer experience. Be a core voice in product decisions and have multiple meaningful improvements in production.
Who You Are:
Must-haves
A track record operating at senior or staff scope: independently owning customer-facing backend product areas from an ambiguous problem through measurable production outcomes.
Strong hands-on experience with TypeScript/Node.js, Go, or a comparable backend stack, plus the ability to design clear APIs, services, and data models.
Experience building distributed or asynchronous systems with databases, queues, workflows, or event-driven patterns—and reasoning clearly about failure modes.
Strong product judgment: you start with the user problem, turn incomplete requirements into a clear technical approach, and make tradeoffs based on customer impact.
Production ownership: you care about testing, observability, reliability, incident response, safe rollouts, and what happens after launch.
Regular, thoughtful use of AI-assisted development tools to improve speed and quality, paired with strong engineering judgment about the result.
Self-direction, customer empathy, and clear communication. You stay hands-on, collaborate directly across functions, and remain accountable for outcomes.
Nice-to-haves
Experience with Postgres and high-volume, event-driven systems using queues or durable workflows such as BullMQ, Kafka, or Temporal.
Experience with real-time systems, voice or telephony, LLM-powered products, or AI agents.
Experience operating cloud-native services on AWS and Kubernetes/EKS.
Experience building developer platforms, public APIs, SDKs, or dashboards used by technical customers.
Experience at a fast-growing startup, building a zero-to-one product, or founding a company.
Open-source contributions, public technical writing, or other evidence of craft beyond your day job.
How We Work:
Build something worthy of love
Craft matters. We aim to 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: Many of us are previous founders
Kind team: The founders, Jordan and Nikhil, are Canadians
Tier-1 investors: Peak XV (Series B), Bessemer, Kleiner Perkins, M12, and Y Combinator
What We Offer:
Real stake: We offer a competitive salary and excellent 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, gym, equipment, and a $10k annual L&D budgetMore: catered meals, transportation, gym, and a $10k annual L&D budget.
Skills & Tags
Aplyr's read
Vapi is an AI-driven tech company enhancing decision-making across industries, attracting talent in sales, engineering, and customer engagement.
What's promising
- •Vapi's focus on AI positions it at the forefront of technological innovation.
- •The company offers diverse roles, indicating growth and expansion.
- •Vapi's industry impact is significant, enhancing decision-making processes.
What to watch
- •Limited public information about Vapi's long-term financial stability.
- •Potential high competition in the AI sector could challenge market share.
- •Rapid expansion may lead to organizational growing pains.
Why Vapi
- •Vapi specializes in AI to improve decision-making, a niche focus.
- •The company recruits across diverse roles, from technical to strategic.
- •Vapi's emphasis on customer engagement highlights a user-centric approach.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Vapi
Vapi is a technology company focused on leveraging artificial intelligence to enhance decision-making processes in various industries.
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