About this role
Telnyx is building a private, global, multi-cloud IP network and hyperlocal edge technology to shape a new era of seamless interconnection. The Singapore Enterprise Sales Pod pairs an Enterprise Account Executive with a Forward Deployed Engineer to establish a robust enterprise business in the market. In this role, the engineer embeds directly with enterprise clients to architect, deploy, and operate production systems powered by Telnyx primitives across voice, messaging, AI, and wireless.
Working alongside a commercial partner, the engineer takes ownership of the technical lifecycle from initial discovery and architecture design through proof-of-concept to production go-live. Daily responsibilities include building custom AI voice assistants, running open-weight or self-hosted large language models via Telnyx Inference or LiteLLM gateways, and wiring comprehensive production observability. The ideal person for this position is self-sufficient, highly technical, and comfortable operating in high-stakes customer environments across Singapore and Southeast Asia.
What you will do
- Embed directly with enterprise customers to analyze communications workflows, AI use cases, and complex integration challenges.
- Build and deploy custom implementations including AI Voice Assistants, WebRTC solutions, and Telnyx API integrations.
- Operate open-weight and self-hosted large language models behind serving engines and unified model gateways.
- Design robust model routing strategies that balance latency, cost, and quality for real-time voice workloads.
- Configure comprehensive production observability with metrics, logs, traces, dashboards, and alerting systems.
- Lead technical discovery, proofs-of-concept, pilots, and production launches from whiteboard architecture to stable go-live.
- Collaborate directly with internal Product and Engineering teams to shape the regional roadmap using field insights from Southeast Asia.
What you need
- Possess a degree in Computer Science or equivalent practical industry experience.
- Bring 3 or more years of experience building, shipping, and supporting production software for real users.
- Demonstrate proficiency in programming languages such as Python, Node.js or TypeScript, and Go.
- Maintain practical knowledge of production failure modes including provider rate limits, streaming behavior, and token accounting.
- Show comfort deploying containerized services and managing secrets on Kubernetes environments.
- Exhibit high-concurrency experience working with Kafka, message queues, or event streams at scale.
- Have experience building APIs from scratch including REST or GraphQL design, authentication, and rate limiting.
Nice to have
- Experience with AI voice assistants, STT/TTS, or LLM-based conversational systems
- Building eval sets for a specific domain
- Hands-on production experience with an LLM gateway such as LiteLLM, Portkey, Kong AI Gateway, or an in-house OpenAI-compatible proxy
Skills and tech stack
Questions candidates ask
What is the work location and travel policy for this role?
The role is based in Singapore, or requires willingness to relocate. It is a hybrid position that involves travel across Southeast Asia.
What kind of team structure will I be working within?
You will work in a local Enterprise Sales Pod consisting of one Enterprise AE and one Forward Deployed Engineer. Together, you own the named-account list, technical discovery, architecture, and production go-live.
What technologies and AI primitives will I work with?
You will work with Telnyx primitives including voice, messaging, numbers, wireless, Voice AI, inference, and agents. The tech stack includes Python, TypeScript, Go, Kubernetes, Kafka, and various LLM gateways and observability tools.
Do I need to manage underlying model infrastructure myself?
You can consume open-weight models through Telnyx Inference using an OpenAI-compatible API where there is no model infrastructure for you to run. Alternatively, you can deploy self-hosted stacks behind your own serving engine when air-gapped or sovereign-cloud requirements demand it.