Original listing text, shown exactly as published by the company.
The Opportunity
A fast-growing 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 solutions from configuration to production and keeping them running at scale.
This is not a support role. It's not pre-sales. It's a heavy engineering function with full client ownership — the kind of work where you're in architecture discussions with a CTO one hour and debugging a production incident the next. If you move fast, think in systems, and want your name on the accounts you deploy, this is where that happens.
What You'll Own
- Lead the full deployment lifecycle for enterprise integrations — from initial client configuration through production go-live and ongoing reliability.
- Serve as the primary technical contact for a portfolio of enterprise clients: run architecture discussions, own escalations, and keep systems healthy.
- Build and maintain monitoring infrastructure, dashboards, and alerting systems that surface issues before they become client problems.
- Own backend and API integrations across enterprise 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 through 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. You've owned external relationships, not just supported them.
- Python in production — backend services, APIs, automation. Scripting-only experience is not sufficient.
- Docker for containerized deployments. Kubernetes experience is a strong plus.
- REST API integrations at enterprise scale — day one capability, no ramp-up needed.
- Comfortable owning complex enterprise stakeholder relationships independently — from architecture decisions to escalation handling, without hand-holding.
- AI-assisted development mindset — you use AI tooling to move faster and expect it to handle the majority of your code.
- Native-level English fluency — written and verbal. You'll interface directly with CTOs and senior executives.
- PST full business hours availability — based in LATAM, full overlap required.
Nice to Have
- Background in AI, NLP, or conversational systems
- Experience with VoIP, SIP/RTP, CCaaS, or CPaaS platforms
- Experience at a contact center technology or voice infrastructure company
- Exposure to enterprise backend service architecture and multi-system integrations
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
