2 days ago

Forward Deployed Engineer, Benelux

Telnyx

Amsterdam

2 days ago

Apply

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.

HybridFull-timeMid LevelPythonNode.js

Forward Deployed Engineer, Benelux

Apply

HybridFull-timeMid LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years

Core Qualifications

Technical (Must-have)

PythonNode.jsTypeScriptGoKubernetesApache KafkaOpenAPIREST APIsGraphQLWebRTCSIPPrometheusGrafanaOpenTelemetryLiteLLM

Soft Skills

CommunicationSelf-sufficientCustomer-facingProblem solvingCollaboration

Preferred Qualifications

Technical (Nice-to-have)

vLLMSGLangTGIOllamaSQLPostgreSQLMySQLOracleETLCI/CDPortkeyKong AI Gateway

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

Forward Deployed EngineerEnterprise SalesAIVoice AILLMKubernetesTelecomCPaaSHybridBenelux

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