Forward Deployed Engineer, EMEA

Telnyx54; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Telnyx is seeking a Forward Deployed Engineer to work with enterprise customers across EMEA from London, Dublin, or Amsterdam. You will architect and ship production systems on Telnyx's global network spanning voice, messaging, AI, wireless, and edge compute.

You will sit at the intersection of software engineering, AI infrastructure, and customer success, deploying real-time AI workloads and leading production launches from POC to go-live.

Qualifications

• CS degree or equivalent practical experience.
• 3+ years building software, infrastructure, or technical consulting.
• Proficient in Python, Node.js, or Go.
• Hands-on production deployment of LLM apps or AI infra.
• Experience with LiteLLM or similar LLM gateway.
• Kubernetes, Docker, APIs, cloud infra, and production ops.
• Exposure to SIP, WebRTC, VoIP, real-time comms.
• Understand production AI challenges: latency, concurrency, costs.
• Ability to translate customer requirements into solutions.
• Comfortable with direct customer engagement and architecture discussions.
• Strong communication skills and London/Dublin/Amsterdam or relocation.

Responsibilities

• Embed with customers to understand requirements and AI use cases.
• Architect and build production solutions on Telnyx platforms.
• Deploy AI voice assistants, conversational AI, and LLM apps.
• Operate LLM infra including open-weight models and gateways.
• Design routing, observability, and cost strategies for AI workloads.
• Create RAG pipelines, prompts, evaluations, and model integrations.
• Deploy containerized services on Kubernetes; coordinate with customer teams.
• Troubleshoot complex issues across APIs, SIP, WebRTC, and AI infra.
• Lead discovery, POCs, pilots, and production launches from whiteboard to go-live.
• Ensure successful deployment, stabilization, and handoff to customers.
• Collaborate with Product/Engineering to improve offerings.

Skills

3+ years experience

Python

Node.js

Go

LLM in production

LiteLLM

Kubernetes

Docker

APIs

Cloud infrastructure

WebRTC

VoIP

RTI/Real-time AI

Education

CS degree

Job description

About Telnyx

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 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