Embed with enterprise customers to understand their communications workflows, AI use cases, and
Build and deploy custom implementations: AI Voice Assistants, Telnyx APIs (Voice, Messaging, Fax
Run open-weight LLMs in customer environments (GLM, DeepSeek, Qwen) and deploy self-hosted stacks
Deploy and operate LiteLLM as the model gateway
Instrument and govern LLM usage through the gateway - cost tracking, caching, logging
Wire production observability - metrics, logs, traces, dashboards, alerting

🎯 Requirements

CS degree or equivalent experience
Bilingual English/Spanish
3+ years building and shipping production software
Proficiency in Python, Node.js/TypeScript, Go
Experience with containerized services on Kubernetes
Understanding of LLM production failure modes

🚚 Relocation support

🛃 Visa sponsorship

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