Forward Deployed Engineer (UK & Ireland)
- London, United Kingdom
- Mid Level
- 3+ years
- Bachelor's degree
- Posted
Skills
Required
- SIP / WebRTC / real-time voice/messaging systems
- Kafka / message queues / event streams
- backpressure
- hot partitions
- Python
- Node.js / TypeScript
- Go
- built APIs from scratch
- OpenAPI
- REST / GraphQL
- Postgres
- MySQL
- Oracle
Preferred
- CI/CD pipeline design
- automation
- telecom / CPaaS / high-growth SaaS
- IAM
- encryption
- audit logging
- Prometheus
- Kubernetes
Join Telnyx, a leading communications platform, as a Forward Deployed Engineer in London. In this role, you will work directly with enterprise customers to architect and implement production systems on Telnyx's global network. You will collaborate closely with a dedicated Enterprise Account Executive to drive technical discovery, design architecture, build proofs of concept, and ensure successful production launches. This position offers the opportunity to work on cutting-edge technology and make a significant impact in the field of communications and AI.
Experience with AI voice assistants, STT/TTS, or LLM-based conversational systems
Responsibilities
- Collaborer directement avec les clients d'entreprise pour comprendre leurs flux de communication, leurs cas d'utilisation de l'IA et leurs défis d'intégration.
- Concevoir et déployer des mises en œuvre personnalisées, y compris des assistants vocaux IA, des API Telnyx (voix, messagerie, fax, sans fil), WebRTC.
- Diriger les POC, les pilotes et les lancements de production, en assurant la responsabilité des résultats du client.
- Ability to translate "it's not working" into root cause
- You've wired observability and been paged because of it — Prometheus + Grafana, OpenTelemetry, Graylog, ELK, or equivalent. You know what to monitor, what to alert on, and what "healthy" looks like
- Excellent written and verbal communication in English. You can run whiteboard sessions, live troubleshooting, and escalations with customer engineering teams
- Comfortable deploying containerized services on Kubernetes, with secrets management, config, and upgrades as part of the deployment story
- Building eval sets for a specific domain
- Hands-on production experience with an LLM gateway — LiteLLM, Portkey, Kong AI Gateway, or an in-house OpenAI-compatible proxy — including config-driven model definitions, routing and fallback rules, and virtual key management
Requirements
Exposure to SIP, WebRTC, or real-time voice/messaging systems
- High-concurrency experience — Kafka, message queues, or event streams at real scale. When throughput spikes you know what breaks — consumer lag, backpressure, hot partitions, rebalance stalls — and what absorbs it: partitioning, consumer groups, parallelism up to your partition count
- Proficiency in multiple languages: Python, Node.js/TypeScript, Go — you're more dangerous in some than others. (Telnyx Edge Compute — functions and stateful actors — is TypeScript, so that one pulls double duty.)
- You've built APIs from scratch, not just consumed them — OpenAPI spec, REST/GraphQL design, auth, rate limiting, versioning, idempotency
- Customer-facing engineering experience — you can run discovery with a customer's engineers and present to their executives in the same week
- Event-driven thinking and cloud-native instincts
- Practical understanding of what breaks in front of a model in production: provider rate limits and quotas, timeout and retry behavior, streaming, token accounting and cost attribution, and the failure modes that only show up under concurrency
CS degree or equivalent experience
- Comfortable working on customer sites and in high-stakes technical conversations
- Based in London, or willing to relocate — this is a hybrid role with travel across the UK and Ireland
- Self-sufficient by default — there's no engineering team behind you. You read the code and the docs, ask the customer (not your manager), and make sound engineering judgment calls on your own
- 3+ years building and shipping production software — you've written code that real users depended on, you've been on-call for it, and you've debugged it when things broke. (A consulting background counts if this is also true of you.)
- Experience with an inference serving engine behind the gateway — vLLM, SGLang, or TGI for production serving; Ollama for lightweight on-prem — and sizing GPU capacity for self-hosted models (KV-cache footprint, concurrent batch size, and context length against VRAM)
- Familiarity with the open-weight model landscape and the trade-offs between regional and multilingual models
- SQL proficiency (Postgres, MySQL, Oracle)
- ETL and data wrangling experience
- Experience with sovereign or on-prem cloud deployments and UK/Irish regulatory frameworks (UK GDPR, Data Protection Act 2018, EU AI Act for cross-border workloads, NIS Regulations, FCA operational resilience requirements for financial services customers)
Preferred
- CI/CD pipeline design and automation
- Background in telecom, CPaaS, or high-growth SaaS
- Security mindset (IAM, encryption, audit logging)
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