Forward Deployed Engineer, APAC

About Telnyx 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 challengesArchitect and build custom production solutions using Telnyx's Voice, Messaging, Wireless, WebRTC, AI, and Edge Compute platformsBuild and deploy AI Voice Assistants, conversational AI, and LLM-powered applicationsDeploy and operate LLM infrastructure, including open-weight models and LiteLLM or comparable gatewaysDesign model routing, fallback, observability, and cost strategies for production AI workloadsBuild RAG pipelines, prompt architectures, evaluations, and model integrationsDeploy containerized services on Kubernetes and work with customer infrastructure teams on production environmentsTroubleshoot complex issues across APIs, networking, SIP, WebRTC, AI inference, and customer infrastructureLead technical discovery, architecture sessions, POCs, pilots, and production launches from whiteboard to go-liveOwn customer outcomes through deployment, stabilization, and handoffPartner with Product and Engineering to turn customer feedback into product improvementsCreate technical documentation, runbooks, and reference architecturesHelp customers navigate data residency, security, privacy, and compliance requirements across APAC What We're Looking For CS degree or equivalent practical experience3+ years building software, infrastructure, or working in technical consultingStrong proficiency in one or more of Python, Node.js, or GoHands-on experience deploying LLM applications or AI infrastructure in productionExperience with LiteLLM or a comparable LLM gateway, including routing, fallbacks, rate limits, and observabilityComfortable with Kubernetes, Docker, APIs, cloud infrastructure, and production operationsExposure to SIP, WebRTC, VoIP, real-time communications, or messagingStrong understanding of production AI challenges including latency, concurrency, provider limits, retries, streaming, and costAbility to diagnose complex technical problems and translate customer requirements into practical solutionsComfortable working directly with customers and leading technical architecture discussionsStrong communication skills with the ability to explain complex technology to both technical and non-technical audiencesBased in Sydney or willing to relocateLegally authorized to work in Australia, or eligible for sponsorship Bonus Points AI Voice Assistants, conversational AI, STT/TTS, or real-time AI experienceExperience with open-weight models, vLLM, SGLang, TGI, or OllamaLLM fine-tuning, RAG, evaluation, or inference optimizationExperience sizing and optimizing GPU infrastructureBackground in telecom, CPaaS, cloud/AI infrastructure, or high-growth SaaSEnterprise, on-prem, or customer-controlled infrastructure experienceExperience with regulated industries or APAC data residency requirementsStrong DevOps/security fundamentalsExperience working across multiple APAC markets