Forward Deployed Engineer (Benelux)

Join Telnyx, a fast-growing communications platform, as a Forward Deployed Engineer in Amsterdam. In this role, you will work closely with enterprise customers to architect and implement production systems on Telnyx's global network. You will collaborate with a dedicated Enterprise Account Executive and take ownership of the technical aspects of the sales process, from discovery to production go-live. This is a hybrid role with travel across the Netherlands, Belgium, and Luxembourg.

• Collaborer avec un représentant commercial pour comprendre les besoins des clients et concevoir des solutions techniques adaptées.
• Construire et déployer des implémentations personnalisées, y compris des assistants vocaux basés sur l'IA et des API Telnyx.
• Diriger les preuves de concept, les pilotes et les lancements de production, en veillant à ce que la solution soit mise en œuvre avec succès.

• 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.)
• Exposure to SIP, WebRTC, or real-time voice/messaging systems
• Comfortable working on customer sites and in high-stakes technical conversations
• Event-driven thinking and cloud-native instincts
• CS degree or equivalent experience
• Comfortable deploying containerized services on Kubernetes, with secrets management, config, and upgrades as part of the deployment story
• Customer-facing engineering experience — you can run discovery with a customer's engineers and present to their executives in the same week
• 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
• 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
• Ability to translate "it's not working" into root cause
• Excellent written and verbal communication in English and Dutch. You can run whiteboard sessions, live troubleshooting, and escalations with customer engineering teams
• 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 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
• Legally authorized to work in the Netherlands, or eligible for sponsorship
• You've built APIs from scratch, not just consumed them — OpenAPI spec, REST/GraphQL design, auth, rate limiting, versioning, idempotency
• 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
• Based in Amsterdam, or willing to relocate — this is a hybrid role with travel across the Netherlands, Belgium, and Luxembourg
• Building eval sets for a specific domain
• Experience with AI voice assistants, STT/TTS, or LLM-based conversational systems
• 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
• Familiarity with the open-weight model landscape and the trade-offs between regional and multilingual models, including EU sovereign AI initiatives (Mistral, Aleph Alpha, Dutch language models like GPT-NL, and other European LLM projects)
• 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)
• ETL and data wrangling experience
• SQL proficiency (Postgres, MySQL, Oracle)
• CI/CD pipeline design and automation
• Experience with sovereign or on-prem cloud deployments and EU regulatory frameworks (GDPR, EU AI Act, Dutch AVG/UAVG, Belgian GDPR, Luxembourg data protection, Schrems II implications)
• Background in telecom, CPaaS, or high-growth SaaS
• Security mindset (IAM, encryption, audit logging)