Description
We're seeking 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.
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