Telnyx
Solutions Engineer, LATAM
About this role
About Telnyx Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications. We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team. Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers. The Role We're looking for a Forward Deployed Engineer to join our LATAM team, with a focus on São Paulo. In this remote, customer-facing role, you'll embed directly with enterprise customers across the region to architect and ship production systems on Telnyx's global network — voice, messaging, AI, and wireless — including self-hosted, open-weight LLM deployments that run inside customer environments. This isn't about demoing products; it's about building real solutions that work at scale. This role would suit a technical professional who thrives at the intersection of engineering and customer success. You're equally comfortable debugging SIP traces as you are standing up a LiteLLM gateway with routing and failover across a customer's model providers, or leading a whiteboard session with a customer's engineering team. The ability to own outcomes from POC to production go-live is essential. Customers across Latin America increasingly need Spanish- and Portuguese-first conversational AI, regional data residency, and flexible deployment options. A significant part of this job is making open-weight models perform reliably on infrastructure the customer controls. Professional fluency in Spanish or Portuguese, together with strong working proficiency in English, is required. This is a LATAM-based remote role for candidates located in São Paulo, with approximately 10–30% travel for deployments, workshops, and escalations across Brazil, and the wider region.
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), and WebRTC
- Deploy and operate open-weight LLMs such as Llama, Qwen, Mistral, DeepSeek, and gpt-oss in customer-controlled cloud, on-premises, and air-gapped environments
- Deploy and operate LiteLLM as the model gateway in customer environments, providing a unified OpenAI-compatible interface across self-hosted models and hosted providers, with routing, load balancing, retries and fallbacks, rate limits, and per-team virtual keys
- Instrument and govern LLM usage through cost tracking and budgets, caching, logging and observability using OpenTelemetry, Langfuse, or similar tools, and guardrails
- Design model-routing strategies for real-time voice workloads, balancing latency, cost, reliability, and Spanish- or Portuguese-language quality
- Make the build-vs-buy case between self-hosted open-weight models and hosted frontier APIs, while keeping customer application code portable across both
- Adapt models to customer domains through prompt and RAG pipelines, LoRA/QLoRA fine-tuning, and evaluation harnesses for Spanish, Portuguese, and multilingual use cases
- Lead POCs, pilots, and production launches from whiteboard to go-live
- Own customer outcomes and remain engaged until the solution is live and stable