Forward Deployed Engineer, ANZ

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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