About this role
Telnyx builds a private, global, multi-cloud IP network and hyperlocal edge technology through intuitive APIs to shape global connectivity. The engineering team operates within a local Enterprise Sales Pod model in Bogotá, pairing an account executive with a Forward Deployed Engineer to establish an enterprise business across the region. This team member embeds directly with enterprise clients to architect and ship production systems handling voice, messaging, AI, and wireless workloads on the Telnyx network.
Day-to-day responsibilities involve leading technical discovery, designing system architecture, building proofs of concept, and driving production go-lives without relying on a larger engineering organization behind the scenes. The ideal candidate combines software engineering expertise with client-facing skills, capable of running technical whiteboard sessions with enterprise engineers and discussing architecture with executives. Someone who is self-sufficient by default and comfortable handling complex integrations across the Andean and LATAM region will thrive in this environment.
What you will do
- Embed directly with enterprise customers to understand communications workflows, AI use cases, and integration challenges firsthand.
- Build and deploy custom implementations including AI voice assistants, Telnyx APIs, and WebRTC solutions.
- Run open-weight LLMs in customer environments using Telnyx Inference or deploy self-hosted stacks when required.
- Deploy and operate LiteLLM as a model gateway in customer environments with routing, load balancing, and rate limits.
- Instrument and govern LLM usage through gateways for cost tracking, logging, observability, and guardrails.
- Wire production observability for everything shipped using metrics, logs, traces, dashboards, and alerting.
- Collaborate directly with product and engineering teams to shape roadmaps based on field insights from the Andean and LATAM region.
What you need
- Hold a Computer Science degree or possess equivalent professional experience.
- Bring three or more years of experience building and shipping production software that real users depend on.
- Demonstrate proficiency in multiple programming languages such as Python, Node.js, TypeScript, and Go.
- Maintain a practical understanding of production model behaviors including rate limits, streaming, token accounting, and concurrency failure modes.
- Show comfort deploying containerized services on Kubernetes with proper secrets management and configuration.
- Possess high-concurrency experience working with Kafka, message queues, or event streams at real scale.
- Exhibit excellent written and verbal communication skills in both English and Spanish.
Nice to have
- Experience with AI voice assistants, STT/TTS, or LLM-based conversational systems.
- Building eval sets for a specific domain.
- Hands-on production experience with an LLM gateway such as LiteLLM, Portkey, Kong AI Gateway, or an in-house OpenAI-compatible proxy.
Skills and tech stack
Questions candidates ask
What is the remote or hybrid work policy for this role?
This is a hybrid role based in Bogotá, or requires willingness to relocate, with travel across Colombia and the broader Andean and LATAM region.
What travel is expected for this position?
The role involves travel across Colombia and the broader Andean and LATAM region alongside working on customer sites.
What languages are required for daily communication?
Candidates must have excellent written and verbal communication in both English and Spanish to run whiteboard sessions, live troubleshooting, and escalations with customer engineering teams.
What technical background is necessary regarding AI and infrastructure?
The position requires practical understanding of production model behaviors, experience deploying containerized services on Kubernetes, high-concurrency experience with message queues, and familiarity with LLM gateways and observability stacks.