Forward Deployed Engineer, Mexico

Added
29 days ago
Type
Full time
Salary
Salary not provided

Related skills

python kubernetes machine learning ai engineering
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πŸ“‹ Description

  • 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 through Telnyx Inference or deploy self-hosted stacks
  • Deploy and operate LiteLLM as the model gateway with routing, load balancing, retries, rate limits
  • Instrument and govern LLM usage through the gateway with cost tracking, caching, logging
  • Wire production observability and alerting for all shipped solutions using Prometheus, Grafana

🎯 Requirements

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

🎁 Benefits

  • Benefits not explicitly listed in the job posting.

🚚 Relocation support

πŸ›ƒ Visa sponsorship

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