# Forward Deployed Engineer, ANZ

**Company**: Telnyx
**Location**: Sydney, Australia
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/telnyx54/jobs/6666534003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_47ed454f-399

## Description

We're seeking a Forward Deployed Engineer to join our team in the APAC region. In this role, you'll work directly with enterprise and high-growth technology customers across APAC to architect and ship production systems on Telnyx's global network , spanning voice, messaging, AI, wireless, and edge compute.

## Responsibilities

- Embed with customers to understand their technical requirements, AI use cases, and integration challenges

- Architect and build custom production solutions using Telnyx's Voice, Messaging, Wireless, WebRTC, AI, and Edge Compute platforms

- Build and deploy AI Voice Assistants, conversational AI, and LLM-powered applications

- Deploy and operate LLM infrastructure, including open-weight models and LiteLLM or comparable gateways

- Design model routing, fallback, observability, and cost strategies for production AI workloads

- Build RAG pipelines, prompt architectures, evaluations, and model integrations

- Deploy containerized services on Kubernetes and work with customer infrastructure teams on production environments

- Troubleshoot complex issues across APIs, networking, SIP, WebRTC, AI inference, and customer infrastructure

- Lead technical discovery, architecture sessions, POCs, pilots, and production launches from whiteboard to go-live

- Own customer outcomes through deployment, stabilization, and handoff

- Partner with Product and Engineering to turn customer feedback into product improvements

- Create technical documentation, runbooks, and reference architectures

- Help customers navigate data residency, security, privacy, and compliance requirements across APAC

## What We're Looking For

- CS degree or equivalent practical experience

- 3+ years building software, infrastructure, or working in technical consulting

- Strong proficiency in one or more of Python, Node.js, or Go

- Hands-on experience deploying LLM applications or AI infrastructure in production

- Experience with LiteLLM or a comparable LLM gateway, including routing, fallbacks, rate limits, and observability

- Comfortable with Kubernetes, Docker, APIs, cloud infrastructure, and production operations

- Exposure to SIP, WebRTC, VoIP, real-time communications, or messaging

- Strong understanding of production AI challenges including latency, concurrency, provider limits, retries, streaming, and cost

- Ability to diagnose complex technical problems and translate customer requirements into practical solutions

- Comfortable working directly with customers and leading technical architecture discussions

- Strong communication skills with the ability to explain complex technology to both technical and non-technical audiences

- Based in Sydney or willing to relocate

- Legally authorized to work in Australia, or eligible for sponsorship

## Skills

### Required
- Python
- Node.js
- Go
- Kubernetes
- Docker
- APIs
- cloud infrastructure
- production operations
- SIP
- WebRTC
- VoIP
- real-time communications
- messaging
- AI
- LLM

### Nice to have
- AI Voice Assistants
- conversational AI
- STT/TTS
- real-time AI
- open-weight models
- vLLM
- SGLang
- TGI
- Ollama
- LLM fine-tuning
- RAG
- evaluation
- inference optimization
- GPU infrastructure
- telecom
- CPaaS
- cloud/AI infrastructure
- high-growth SaaS
- enterprise
- on-prem
- customer-controlled infrastructure
- regulated industries
- APAC data residency requirements
- DevOps/security fundamentals

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/telnyx54/jobs/6666534003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)