Forward Deployed Engineer, APAC

The Role

We're looking for 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.

This isn't about demoing products; it's about building real solutions that work at scale.

You'll sit at the intersection of software engineering, AI infrastructure, telecommunications, and customer success — working directly with customer engineering and technical leadership teams to understand requirements, architect solutions, build integrations, and take them from POC through production.

A major focus will be helping customers deploy real-time AI and communications workloads, including AI Voice Assistants, LLM inference, open-weight models, and applications requiring low latency, reliability, and regional data processing.

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

Bonus Points

AI Voice Assistants, conversational AI, STT/TTS, or real-time AI experience

Experience with open-weight models, vLLM, SGLang, TGI, or Ollama

LLM fine-tuning, RAG, evaluation, or inference optimization

Experience sizing and optimizing GPU infrastructure

Background in telecom, CPaaS, cloud/AI infrastructure, or high-growth SaaS

Enterprise, on-prem, or customer-controlled infrastructure experience

Experience with regulated industries or APAC data residency requirements

Strong DevOps/security fundamentals

Experience working across multiple APAC markets

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