Forward Deployed Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 110d ago
The date the source published, not the day we noticed it (2026-05-27). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Argentina
The description agrees: it names LATAM.
What the ad says
…based in LATAM, full overlap required…
…Location: Remote, Latin America Time…
Pay not stated
Similar roles pay $4,950–6,875/mo
Middle 50% of 15 listings that do state pay — Engineering · all levels · Argentina · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 3h ago
The listing
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
About the Company
An enterprise 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.