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 — consume GLM, Kimi, DeepSeek, Qwen, and MiniMax
Deploy and operate LiteLLM as the model gateway in customer environments
Instrument and govern LLM usage through the gateway — cost and budgets, caching, logging and
Wire production observability for everything you ship — metrics, logs, traces, dashboards, and

🎯 Requirements

CS degree or equivalent experience
3+ years building and shipping production software
Proficiency in Python, Node.js/TypeScript, Go
Practical understanding of production LLM failure modes: rate limits, timeouts, retries, streaming
Comfortable deploying containerized services on Kubernetes with secrets management, config, upgrades
Wired observability: Prometheus + Grafana, OpenTelemetry, Graylog, ELK

🚚 Relocation support

🛃 Visa sponsorship

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