Forward Deployed Engineer, Benelux
Telnyx
Forward Deployed Engineer, Benelux
Telnyx is building a local Enterprise Sales Pod in Amsterdam, seeking a Forward Deployed Engineer to embed with enterprise customers and architect production systems on Telnyx's global network. The role requires 3+ years of production software experience, proficiency in Python, Node.js/TypeScript, and Go, and excellent communication in English and Dutch. This is a hybrid role with travel across the Benelux region.
Forward Deployed Engineer, Benelux
Telnyx is building a local Enterprise Sales Pod in Amsterdam, seeking a Forward Deployed Engineer to embed with enterprise customers and architect production systems on Telnyx's global network. The role requires 3+ years of production software experience, proficiency in Python, Node.js/TypeScript, and Go, and excellent communication in English and Dutch. This is a hybrid role with travel across the Benelux region.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Embed with enterprise customers to understand their communications workflows, AI use cases, and integration challenges firsthand
- Build and deploy custom implementations: AI Voice Assistants, Telnyx APIs (Voice, Messaging, Fax, Wireless), WebRTC
- Run open-weight LLMs in customer environments — consume GLM, Kimi, DeepSeek, Qwen, and MiniMax through Telnyx Inference (OpenAI-compatible API; there's no model infrastructure for you to run), or deploy self-hosted stacks (Llama, Mistral, and region-specific models like Mistral Large, GPT-NL, or other EU sovereign models) behind your own serving engine when air-gapped or sovereign-cloud requirements demand it
- Deploy and operate LiteLLM as the model gateway in customer environments: a unified OpenAI-compatible interface across self-hosted open-weight models and hosted providers, with routing, load balancing, retries and fallbacks, rate limits, and per-team virtual keys
- Instrument and govern LLM usage through the gateway — cost tracking and budgets, caching, logging and observability (OpenTelemetry, Langfuse, or similar), and guardrails — so customers can see and control what their AI workloads are doing
- Wire production observability for everything you ship — metrics, logs, traces, dashboards, and alerting (e.g. Prometheus + Grafana for metrics, OpenTelemetry for traces, Graylog or ELK for logs — or the customer's existing stack) — so you and the customer's ops team both know what "healthy" looks like and what pages whom when it isn't
- Design model routing strategies for real-time voice workloads, balancing latency, cost, and quality, with sane fallback behavior when a provider degrades
- Make the build-vs-buy case between self-hosted open-weight models and hosted frontier APIs, and keep the customer's application code portable across both
- Adapt models to customer domains: prompt and RAG pipelines and evaluation harnesses for Dutch and French language use cases and Benelux/EU-specific regulatory environments (GDPR, EU AI Act, Dutch data protection, Belgian data protection)
- Lead POCs, pilots, and production launches from whiteboard to go-live
- Own customer outcomes — stay engaged until the solution is live and stable
- Collaborate directly with Product and Engineering to shape the roadmap based on field insights from the Netherlands, Belgium, and Luxembourg
- Create clear technical documentation, runbooks, and maintainable solutions for handoff
- Troubleshoot and resolve complex integration issues alongside customer teams