APAC Forward-Deployed AI Engineer: Edge & LLM

Telnyx

Sydney

Hybrid

AUD 140,000 - 200,000

Full time

9 days ago
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Job summary

Telnyx seeks a Forward Deployed Engineer in Sydney for a hybrid role. You will collaborate with enterprise customers across Australia, New Zealand, and APAC to architect and ship production systems on Telnyx's global network, spanning voice, messaging, AI, wireless, and edge compute.

You will build real solutions at scale, integrating with customer environments, and leading engagements from POC to production launches.

Qualifications

  • 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.

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.

Skills

3+ years experience
Python
Node.js
Go
LLM infrastructure
Kubernetes
Docker
APIs
Software engineering

Education

CS degree or equivalent

Tools

Kubernetes
Docker

Job description

Telnyx seeks a Forward Deployed Engineer in Sydney for a hybrid role. You will collaborate with enterprise customers across Australia, New Zealand, and APAC to architect and ship production systems on Telnyx's global network, spanning voice, messaging, AI, wireless, and edge compute.

You will build real solutions at scale, integrating with customer environments, and leading engagements from POC to production launches.

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