6 hours ago
Paris, FranceMid Level
Responsibilities
- Embed with enterprise customers to understand communications workflows, AI use cases, and integration challenges.
- Design and build custom implementations using AI Voice Assistants, Telnyx APIs, WebRTC, and related connectivity services.
- Deploy and operate LiteLLM and self-hosted or hosted LLM solutions, including routing, fallbacks, rate limits, virtual keys, and usage governance.
- Build production observability with metrics, logs, traces, dashboards, alerting, and customer operations handoffs.
- Design model-routing strategies for real-time voice workloads and evaluate self-hosted versus hosted model architectures.
- Develop prompt and RAG pipelines and evaluation harnesses for French-language and EU-regulated use cases.
- Lead technical discovery, POCs, pilots, production launches, troubleshooting, and customer outcomes through stable go-live.
- Collaborate with Product and Engineering to shape the roadmap from field insights in France.
- Create technical documentation and runbooks and maintain solutions for handoff.
- Present to customer engineers and executives and resolve complex integration issues.
Requirements
- CS degree or equivalent experience.
- At least 3 years of building and shipping production software, including debugging and on-call ownership.
- Proficiency in Python, Node.js/TypeScript, and Go.
- Understanding of production model concerns including rate limits, quotas, timeouts, retries, streaming, token accounting, cost attribution, and concurrency failures.
- Experience deploying containerized services on Kubernetes with secrets management, configuration, and upgrades.
- Experience with observability tools such as Prometheus, Grafana, OpenTelemetry, Graylog, or ELK.
- High-concurrency experience with Kafka, message queues, or event streams, including partitioning, consumer groups, backpressure, and consumer lag.
- Experience building APIs with OpenAPI, REST or GraphQL, authentication, rate limiting, versioning, and idempotency.
- Event-driven and cloud-native engineering experience.
- Exposure to SIP, WebRTC, or real-time voice and messaging systems.
- Customer-facing engineering experience and the ability to work independently in customer environments.
- Excellent written and verbal communication in English and French.
- Based in Paris or willing to relocate, with comfort working at customer sites and traveling across France.
- Legally authorized to work in France.
- Preferred experience includes AI voice assistants, STT/TTS, LLM conversational systems, evaluation sets, LLM gateways, open-weight models, inference serving, GPU sizing, SQL, ETL, CI/CD automation, telecom or CPaaS, sovereign or on-premise deployments, EU regulatory frameworks, and security controls.
Benefits
- Hybrid role based in Paris or requiring relocation, with travel across France.
- Work directly with enterprise customers and an Enterprise AE in a local Paris sales pod.
- Opportunity to own technical discovery, architecture, POCs, and production launches for AI, communications, wireless, and connectivity workloads.
Tech Stack
Categories
Forward Deployed
About Telnyx
Telnyx builds a communications platform and AI infrastructure for developers and enterprises, offering SIP trunking, voice and messaging APIs, WhatsApp Business, eSIM/IoT connectivity, and low-latency inference on a private global IP network. The privately held company, founded in 2009 and headquartered in Austin, operates worldwide and holds a Saudi VVSP license with regional anchorsites for data locality. Revenue comes from usage-based APIs and enterprise connectivity services.