Vox AI
Vox AI: Automates drive thru experiences using AI
HQNL
Team Size20
Open Jobs3
Total Funding-
Latest FundraiseUnknown
Vox AI: Automates drive thru experiences using AI
Core product: Voice-first AI platform for drive-thru, phone, in-store ordering with payments and analytics
Target customers: Quick-service restaurants / high-volume ordering channels
Employees: ~20
Languages: Claims support for 95+ languages
Recent funding signal: Seed round announced Aug 27, 2025 (lead: Headline)
Customer ordering and payments automation for quick-service restaurants and other high-volume ordering channels.
Technology, Information and Internet
Pre-Seed round recorded on Crunchbase
Pre-Seed round recorded on Crunchbase
Seed round announced with four investors
“Seed round led by Headline with investors including SousChef Ventures and Simon Capital”
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Vox AI is redefining drive-thru and restaurant automation with cutting-edge voice AI. Our system integrates deeply with POS systems, aggregators, and restaurant infrastructure, making ordering faster, more accurate, and easier to manage.
We’re venture-funded, scaling fast, and integrations are the backbone of our growth. This role is all about building robust, secure, and high-performance connections between our AI platform and the world’s most widely used restaurant systems. You’ll work directly with the CTO and take ownership of our integration layer powering QSR automation worldwide.
Tasks
Architect, build, and maintain third-party integrations with POS systems (Oracle, NCR, ParTech, Toast, etc.), aggregators, and restaurant hardware.
Design and implement API bridges, webhook handlers, and real-time data pipelines to keep AI and POS perfectly in sync.
Develop fault-tolerant, secure, and observable integration services using Python, FastAPI, Pydantic, and modern DevSecOps practices.
Handle complex data mappings, normalisation, and edge-case handling for real-world restaurant operations.
Deploy and scale integration workloads on GCP (Cloud Run, Kubernetes, Firestore/NoSQL, Cloud SQL) and/or AWS (Lambda, DynamoDB, API Gateway, S3).
Work with authentication/authorization flows (OAuth2, JWT, SAML, Cognito) to integrate securely with enterprise clients.
Implement deep monitoring, alerting, and troubleshooting processes (Prometheus, Grafana, CloudWatch, App Insights) for all integrations.
Collaborate closely with product and client teams to rapidly scope and deliver new integrations.
Requirements
Senior Python developer with strong experience in API and system integrations.
Proven record building enterprise-grade connections to third-party systems — POS integrations a strong plus.
Hands-on experience with cloud deployments (GCP and/or AWS) and infrastructure-as-code (Terraform, Pulumi, etc.).
Expertise in debugging distributed systems — from API timing issues to race conditions in data pipelines.
Solid background in secure-by-design development, including data security, least privilege access, and vulnerability scanning.
Skilled with observability tooling to monitor and troubleshoot production integrations.
Familiar with streaming/queuing (Kafka, RabbitMQ) and database engines (PostgreSQL, MySQL, MongoDB, DynamoDB).
Bonus: experience with Go, TypeScript, or high-throughput data processing pipelines.
Benefits
Venture-funded & growing fast – you’ll join early and have direct impact on core architecture.
Work directly with the CTO – fast feedback, quick decisions, no bureaucracy.
Hybrid work – minimum 4 days/week in our Amsterdam office.
Ship weekly – we move fast and deliver constantly.
Equity included – we’re building something big and want you to share in the upside.
If you’re passionate about solving complex integration challenges, love getting deep into systems, and want your work to directly power AI in real restaurants around the world, we’d love to talk.