Forward Deployed Engineer
The Opportunity A fast-growing voice AI platform serving enterprise customers is building out its deployment team to own the technical side of client rollouts end-to-end. You'll be the primary technical contact for major accounts, taking AI-powered voice solutions from configuration to production and keeping them running at scale. If you're an engineer who wants real client ownership, not just internal tickets, this is where that happens.
What You'll Own
Lead the full deployment lifecycle for enterprise voice AI integrations, from initial configuration through production go-live and ongoing reliability
Serve as the primary technical contact for a portfolio of enterprise clients, running architecture discussions, troubleshooting escalations, and owning system health
Build and maintain monitoring infrastructure, dashboards, and alerting systems that surface issues before they become client problems
Own telephony integrations across SIP, RTP, and enterprise backend systems, ensuring secure and stable production operation
Translate client requirements into scalable solutions within platform constraints, and bring patterns back to product and engineering to close gaps
Drive a data-informed approach to deployments by designing logging and analytics systems that enable proactive optimization
What We're Looking For
2–5 years in a client-facing technical role: solutions engineering, technical consulting, or deployment/implementation
Hands-on Python experience in a production context
Experience with VoIP protocols (SIP, RTP) and telephony infrastructure
Familiarity with Docker and Kubernetes for containerized deployments
Comfortable owning complex enterprise stakeholder relationships independently
Native-level English fluency
Availability during PST business hours (full overlap required)
Nice to Have
Background in AI, NLP, or conversational systems
Experience at a CCaaS, CPaaS, or contact center technology company
Exposure to enterprise API integrations and backend service architecture
Tools and Stack Python, Docker, Kubernetes, SIP/RTP, REST APIs, monitoring/observability tooling (specifics TBD by client stack)
Details
Location: Remote, Latin America
Time Zone: PST overlap required (full business hours)
Salary: Competitive — share your expectations when you apply.
Type: Contract, full-time
Start: ASAP
About the Company An enterprise voice AI platform that automates customer service interactions at scale, deployed across global enterprise accounts handling tens of thousands of calls daily. The company is well-funded, growing fast, and expanding its deployment team to support a rapidly scaling client base.
How It Works:
Apply below — takes 2 minutes.
Within 5 minutes of applying, you'll receive a phone call from our AI hiring assistant for a quick screening.
If you pass the screening, you'll move into an interview with a LatamCent recruiter.
Top candidates are presented to our client for their interview process.