Forward Deployed Engineer, EMEA

Telnyx; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Telnyx is seeking Forward Deployed Engineers to join our European team and work directly with enterprise customers across the EMEA region to architect and ship production systems on Telnyx’s global network. You will span voice, messaging, AI, wireless, and edge compute, delivering real solutions rather than demos.

This role sits at the intersection of software engineering, AI infrastructure, telecommunications, and customer success, requiring hands-on design, integration, and deployment with

Qualifications

• CS degree or equivalent practical experience.
• 3+ years building software, infrastructure, or technical consulting.
• Proficiency in Python, Node.js, or Go.
• Hands-on experience deploying LLM applications or AI infrastructure.
• Experience with LiteLLM or similar 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: latency, concurrency, retries, scaling, costs.
• Ability to translate customer requirements into practical solutions and lead architecture discussions.

Responsibilities

• Embed with customers to understand technical requirements and AI use cases.
• Architect and build production solutions using Telnyx platforms: Voice, Messaging, Wireless, WebRTC, AI, Edge Compute.
• Build and deploy AI Voice Assistants and LLM-powered apps.
• Deploy and operate LLM infrastructure and gateways.
• Design model routing, fallback, observability, and cost strategies for AI workloads.
• Build RAG pipelines, prompts, evaluations, and model integrations.
• Deploy containerized services on Kubernetes; collaborate with customer infra teams.
• Troubleshoot APIs, networking, SIP, WebRTC, AI inference, and infra issues.
• Lead technical discovery, architecture sessions, POCs, pilots, and production launches.
• Own customer outcomes through deployment, stabilization, and handoff.
• Collaborate with Product/Engineering to turn feedback into improvements.
• Create technical docs, runbooks, reference architectures.
• Navigate data residency, security, privacy, and compliance across EMEA.

Skills

Python

Node.js

Go

Kubernetes

Docker

APIs

Cloud infrastructure

SIP

WebRTC

VoIP

Communication

Education

CS degree or equivalent practical experience

Tools

LiteLLM

LLM gateway

Kubernetes

Docker

vLLM

SGLang

TGI

Ollama

Job description

About Telnyx

technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.

We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.

Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.

Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.

We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.

Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.

The Role

We're looking for Forward Deployed Engineers to join our team thorughout Europe. You'll work directly with enterprise and high-growth technology customers across an EMEA region 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 role will have 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 solutionsComfortable 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