Forward Deployed Engineer, APAC

Telnyx; Sydney; Hybrid; AUD 140,000 - 200,000; Full time

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 is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network , to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.

We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.

Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.

The Role

We're looking for a Forward Deployed Engineer to join our team in Sydney. In this hybrid role, you'll work directly with enterprise and high-growth technology 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.

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.

This is a Sydney-based hybrid role with approximately 10–30% travel, primarily across Australia and New Zealand, with occasional travel elsewhere in APAC.

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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