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Forward Deployed Engineer, EMEA

Telnyx
London, GBR
Mid
Discovered 1 months ago
dockerkubernetesnodejspython

Full Job Posting

The Role

We're looking for a Forward Deployed Engineer to join our team in London, Dublin, or Amsterdam. You'll work directly with enterprise and high-growth technology customers across EMEA to architect and ship production systems on Telnyx's global network — spanning voice, messaging, AI, wireless, and edge compute.

This isn't about demoing products; it's about building real solutions that work at scale.

You'll sit at the intersection of software engineering, AI infrastructure, telecommunications, and customer success — working directly with customer engineering and technical leadership teams to understand requirements, architect solutions, build integrations, and take them from POC through production.

A major focus will be helping customers deploy real-time AI and communications workloads, including AI Voice Assistants, LLM inference, open-weight models, and applications requiring low latency, reliability, and regional data processing.

This is a hybrid EMEA role based in London, Dublin, or Amsterdam, with approximately 10–30% travel across the UK, Europe, and wider EMEA.

Responsibilities

  • Embed with customers to understand their technical requirements, AI use cases, and integration challenges
  • Architect and build custom production solutions using Telnyx's Voice, Messaging, Wireless, WebRTC, AI, and Edge Compute platforms
  • Build and deploy AI Voice Assistants, conversational AI, and LLM-powered applications
  • Deploy and operate LLM infrastructure, including open-weight models and LiteLLM or comparable gateways
  • Design model routing, fallback, observability, and cost strategies for production AI workloads
  • Build RAG pipelines, prompt architectures, evaluations, and model integrations
  • Deploy containerized services on Kubernetes and work with customer infrastructure teams on production environments
  • Troubleshoot complex issues across APIs, networking, SIP, WebRTC, AI inference, and customer infrastructure
  • Lead technical discovery, architecture sessions, POCs, pilots, and production launches from whiteboard to go-live
  • Own customer outcomes through deployment, stabilization, and handoff
  • Partner with Product and Engineering to turn customer feedback into product improvements
  • Create technical documentation, runbooks, and reference architectures
  • Help customers navigate data residency, security, privacy, and compliance requirements across EMEA

What We're Looking For

CS degree or equivalent practical experience

3+ years building software, infrastructure, or working in technical consulting

Strong proficiency in one or more of Python, Node.js, or Go

Hands-on experience deploying LLM applications or AI infrastructure in production

Experience with LiteLLM or a comparable LLM gateway, including routing, fallbacks, rate limits, and observability

Comfortable with Kubernetes, Docker, APIs, cloud infrastructure, and production operations

Exposure to SIP, WebRTC, VoIP, real-time communications, or messaging

Strong understanding of production AI challenges including latency, concurrency, provider limits, retries, streaming, and cost

Ability to diagnose complex technical problems and translate customer requirements into practical solutions

Comfortable working directly with customers and leading technical architecture discussions

Strong communication skills with the ability to explain complex technology to both technical and non-technical audiences

Based in London, Dublin, or Amsterdam, or willing to relocate

Legally authorized to work in the relevant country, or eligible for sponsorship

Bonus Points

AI Voice Assistants, conversational AI, STT/TTS, or real-time AI experience

Experience with open-weight models, vLLM, SGLang, TGI, or Ollama

LLM fine-tuning, RAG, evaluation, or inference optimization

Experience sizing and optimizing GPU infrastructure

Background in telecom, CPaaS, cloud/AI infrastructure, or high-growth SaaS

Enterprise, on-prem, or customer-controlled infrastructure experience

Experience with regulated industries or EMEA data residency requirements

Strong DevOps/security fundamentals

Experience working across multiple EMEA markets

#LI-RH1

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