Forward Deployed Engineer, DACH at Telnyx Full Time

Company: Telnyx
Location: Munich, Germany
Department: Sales
Work Model: Hybrid, with travel across Germany, Austria, and Switzerland
Salary: See original listing
Application Link: Apply on Arbeitnow

Telnyx is hiring a Forward Deployed Engineer, DACH to join its enterprise sales pod in Munich. This is a hands-on technical role for an engineer who can work directly with enterprise customers to design, build, deploy, and operate production AI and communications solutions.

The role is not limited to product demonstrations. You will help customers move from technical discovery to architecture, proof of concept, production launch, and ongoing operational success.

About the Role

You will work alongside a dedicated Enterprise Account Executive. The Account Executive will manage named accounts, executive relationships, commercial qualification, and deal closure. You will own the technical side of the customer engagement.

Your work will include understanding customer communications workflows, identifying AI use cases, designing solutions, building POCs, removing technical blockers, and getting the first workload live. You will also identify opportunities for additional workloads after the initial deployment.

Key Responsibilities

• Embed with enterprise customers to understand their communications and AI requirements.

• Build custom AI Voice Assistants, WebRTC solutions, and integrations using Telnyx APIs.

• Deploy open-weight LLMs through Telnyx Inference or self-hosted environments where required.

• Operate LiteLLM as a model gateway with routing, load balancing, retries, fallbacks, rate limits, and virtual keys.

• Implement cost tracking, caching, logging, observability, and guardrails for customer AI workloads.

• Build production observability with metrics, logs, traces, dashboards, and alerting.

• Design model-routing strategies for real-time voice workloads.

• Advise customers on hosted APIs versus self-hosted open-weight models.

• Adapt AI systems for German-language and DACH regulatory requirements.

• Lead POCs, pilots, and production launches.

• Collaborate with Product and Engineering teams using customer feedback from Germany, Austria, and Switzerland.

• Create documentation, runbooks, and maintainable handoff solutions.

• Troubleshoot complex integration issues with customer teams.

Candidate Requirements

Candidates should hold a Computer Science degree or have equivalent practical experience. The role requires at least three years of experience building and shipping production software that real users depended on.

Applicants should be proficient in Python, Node.js/TypeScript, and Go. They should understand production challenges related to LLM providers, rate limits, timeouts, retries, streaming, token accounting, cost attribution, and concurrency.

Experience with Kubernetes, containerized deployments, secrets management, and upgrades is required. Familiarity with Prometheus, Grafana, OpenTelemetry, Graylog, or ELK is also important.

Preferred Experience

Experience with AI voice assistants, STT/TTS, and LLM-based conversational systems is highly valuable. Candidates with experience building evaluation sets, operating LLM gateways, or working with open-weight models will have an advantage.

Knowledge of vLLM, SGLang, TGI, Ollama, SQL, ETL, CI/CD, telecom, CPaaS, and high-growth SaaS environments is also beneficial. Experience with GDPR, the EU AI Act, German data localization, and sovereign-cloud deployments is relevant for this DACH-focused role.

Work Location and Language

This is a hybrid role based in Munich, with travel across Germany, Austria, and Switzerland. Candidates must be based in Munich or willing to relocate.

Applicants should have excellent written and verbal communication skills in both English and German. They must also be legally authorized to work in Germany or eligible for sponsorship.

Application Link

Apply directly through the official listing on Arbeitnow:

Forward Deployed Engineer, DACH at Telnyx

Job details sourced from Arbeitnow.