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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer, EMEA - **Company:** Telnyx LLC - **Location:** London, UK (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, VoIP, Software as a Service, Cloud Computing, DevOps, Session Initiation Protocols, Python (Programming Language), Routing, Node.Js, Runbook, Software Construction, Software Engineering, WebRTC, AI Infrastructure, Data Processing, Chatbots, Large Language Models, Build Management, Kubernetes, Low Latency, Hardware Infrastructure, Docker - **Published:** September 4, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=d740a98b276272a8 ## About the Role * 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 ## Description 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., * 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 ## Related Videos - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Docker does that? 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