2 months ago
Dublin, Ireland or London, United KingdomMid Level
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
Forward Deployed
About Telnyx
Telnyx builds a communications platform and AI infrastructure for developers and enterprises, offering SIP trunking, voice and messaging APIs, WhatsApp Business, eSIM/IoT connectivity, and low-latency inference on a private global IP network. The privately held company, founded in 2009 and headquartered in Austin, operates worldwide and holds a Saudi VVSP license with regional anchorsites for data locality. Revenue comes from usage-based APIs and enterprise connectivity services.