5 дней назад
Forward Deployed Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Building and deploying production AI voice, messaging, inference, and connectivity systems for enterprise customers on Telnyx's global network with an accent on LLM gateways, model routing, observability, and Hong Kong/APAC regulatory requirements. Focus on leading customer POCs through production launch, operating Kubernetes-based services, solving high-concurrency integration challenges, and balancing latency, cost, and quality across hosted and self-hosted models.
Location: Hong Kong; hybrid role with travel across Hong Kong and the broader Greater China/APAC region. Candidates must be based in Hong Kong or willing to relocate and must be legally authorized to work in Hong Kong or eligible for sponsorship.
Company
builds global connectivity infrastructure, APIs, edge services, and AI-enabled communications solutions.
What you will do
- Embed with enterprise customers to understand communications workflows, AI use cases, and integration requirements.
- Design and deploy production solutions using Voice, Messaging, Fax, Wireless, WebRTC, Voice AI, inference, and connectivity APIs.
- Deploy and operate LiteLLM gateways, open-weight and hosted models, routing strategies, fallbacks, rate limits, virtual keys, and usage controls.
- Build production observability with metrics, logs, traces, dashboards, alerting, cost tracking, and governance.
- Lead technical discovery, POCs, pilots, production launches, troubleshooting, documentation, and customer handoff.
- Collaborate with Product and Engineering to shape the roadmap for Hong Kong and the Greater China/APAC region.
Requirements
- Computer science degree or equivalent experience and 3+ years of building and shipping production software.
- Proficiency in multiple languages, including Python, Node.js/TypeScript, and Go.
- Experience with production LLM systems, APIs, Kubernetes, containerized services, secrets management, and cloud-native deployments.
- Experience with observability tools such as Prometheus, Grafana, OpenTelemetry, Graylog, or ELK, plus high-concurrency systems, Kafka, message queues, or event streams.
- Customer-facing engineering experience, including technical discovery, executive presentations, troubleshooting, and production ownership.
- Excellent written and verbal communication in English and Chinese, including Cantonese and/or Mandarin.
Nice to have
- Experience with AI voice assistants, STT/TTS, LLM conversational systems, evaluation sets, or LLM gateways.
- Experience with vLLM, SGLang, TGI, Ollama, GPU capacity planning, or self-hosted open-weight models.
- SQL, ETL, CI/CD, telecom, CPaaS, or high-growth SaaS experience.
- Experience with sovereign or on-premise cloud deployments, APAC regulations, data localization, or cross-border data transfer requirements.
- Security experience with IAM, encryption, and audit logging.
Culture & Benefits
- Work directly with enterprise customers and a dedicated Enterprise Account Executive in a collaborative pod model.
- Own technical outcomes from discovery through stable production operation without relying on a separate engineering team.
- Work on real-world connectivity, AI, voice, messaging, wireless, and inference systems at scale.
- Contribute field insights to the product roadmap for Hong Kong and the broader APAC region.
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