Responsibilities
- Embed with customers to understand technical requirements, AI use cases, and integration challenges.
- Architect and build custom production solutions using Telnyx 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, fallbacks, observability, and cost strategies for production AI workloads.
- Build RAG pipelines, prompt architectures, evaluations, and model integrations.
- Deploy containerized services on Kubernetes and collaborate with customer infrastructure teams on production environments.
- Troubleshoot issues involving APIs, networking, SIP, WebRTC, AI inference, and customer infrastructure.
- Lead technical discovery, architecture sessions, proofs of concept, pilots, and production launches.
- 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 address data residency, security, privacy, and compliance requirements across EMEA.
Requirements
- CS degree or equivalent practical experience.
- At least 3 years of experience building software or 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.
- Experience with Kubernetes, Docker, APIs, cloud infrastructure, and production operations.
- Exposure to SIP, WebRTC, VoIP, real-time communications, or messaging.
- 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.
- Comfort leading technical architecture discussions directly with customers.
- Strong communication skills for explaining complex technology to 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: experience with AI voice assistants, conversational AI, STT/TTS, real-time AI, open-weight models, vLLM, SGLang, TGI, Ollama, LLM fine-tuning, RAG, evaluation, inference optimization, GPU infrastructure, telecom, CPaaS, cloud or AI infrastructure, enterprise or on-premises environments, regulated industries, EMEA data residency, or DevOps and security fundamentals.
Benefits
- Hybrid role based in London, Dublin, or Amsterdam.
- Approximately 10–30% travel across the UK, Europe, and wider EMEA.
- Opportunity to work with enterprise and high-growth technology customers on production AI and connectivity systems.
- Relocation may be possible, and visa sponsorship eligibility is mentioned.
Tech Stack
Categories
About Telnyx
Infrastructure for real-time AI. Edge compute, voice AI agents, and global communications, all on one platform. We combine global telephony, dedicated AI infrastructure, and full customizability under one roof so you can design and deploy AI-powered agents that feel like part of your team. From low-latency voice streaming to scalable, multi-language support, Telnyx gives you everything you need to build real-time, intelligent voice experiences. Whether you’re enhancing customer support, automating outbound calls, or embedding voice AI into your product, Telnyx makes it easy to launch and scale with confidence. And you never have to worry about piecing together multiple providers or sacrificing performance. Build agile. Launch faster. Scale globally. All on one platform built for real-time engagement.