Telnyx

Cloud-based voice, messaging, and wireless services

Forward Deployed Engineer

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

A Computer Science degree or equivalent experience.
At least 3 years of experience building and shipping production software, including writing code used by real users, being on-call, and debugging production issues; consulting experience counts if these conditions are met.
Proficiency in multiple programming languages among Python, Node.js/TypeScript, and Go; TypeScript is used for Telnyx Edge Compute functions and stateful actors.
Practical understanding of production model-integration issues, including provider rate limits and quotas, timeout and retry behavior, streaming, token accounting and cost attribution, and concurrency-related failure modes.
Experience deploying containerized services on Kubernetes, including secrets management, configuration, and upgrades.
Experience implementing observability and responding to alerts using Prometheus, Grafana, OpenTelemetry, Graylog, ELK, or equivalent tools; ability to determine monitoring and alerting needs and define healthy system behavior.
High-concurrency experience with Kafka, message queues, or event streams at scale, including knowledge of consumer lag, backpressure, hot partitions, rebalance stalls, partitioning, consumer groups, and parallelism.
Experience building APIs, including OpenAPI specifications, REST or GraphQL design, authentication, rate limiting, versioning, and idempotency.
Event-driven thinking and cloud-native instincts.
Exposure to SIP, WebRTC, or real-time voice or messaging systems.
Ability to work independently, read code and documentation, consult customers, and make sound engineering judgments.
Customer-facing engineering experience, including leading technical discovery with customer engineers and presenting to executives.
Ability to diagnose root causes from reports that something is not working.
Comfort working on customer sites and in high-stakes technical conversations.
Written and verbal communication in English and Spanish, including the ability to run whiteboard sessions, live troubleshooting, and escalations with customer engineering teams.
Based in Mexico City or willing to relocate.
Legally authorized to work in Mexico or eligible for sponsorship.

Responsibilities

Embed with enterprise customers to understand their communications workflows, AI use cases, and integration challenges.
Build and deploy custom implementations, including AI Voice Assistants, Telnyx Voice, Messaging, Fax, and Wireless APIs, and WebRTC.
Run open-weight language models in customer environments through Telnyx Inference, or deploy self-hosted stacks behind a serving engine when air-gapped or sovereign-cloud requirements demand it.
Deploy and operate LiteLLM as a model gateway in customer environments, providing 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 language-model usage through the gateway using cost tracking and budgets, caching, logging and observability such as OpenTelemetry or Langfuse, and guardrails.
Implement production observability for shipped systems using metrics, logs, traces, dashboards, and alerting, using tools such as Prometheus, Grafana, OpenTelemetry, Graylog, ELK, or the customer's existing stack.
Design model-routing strategies for real-time voice workloads that balance latency, cost, and quality, with fallback behavior when a provider degrades.
Evaluate self-hosted open-weight models versus hosted frontier APIs and keep customer application code portable across both.
Adapt models to customer domains by building prompt and retrieval-augmented-generation pipelines and evaluation harnesses for Spanish- and English-language use cases and Mexico/LATAM regulatory environments.
Lead proofs of concept, pilots, and production launches from whiteboard to go-live.
Own customer outcomes by remaining engaged until the solution is live and stable.
Collaborate with Product and Engineering to shape the roadmap based on field insights from Mexico and the broader LATAM region.
Create technical documentation, runbooks, and maintainable solutions for handoff.
Troubleshoot and resolve complex integration issues alongside customer teams.

Desired Qualifications

Experience with AI voice assistants, speech-to-text/text-to-speech, or language-model-based conversational systems.
Experience building evaluation sets for a specific domain.
Hands-on production experience with a language-model gateway such as LiteLLM, Portkey, Kong AI Gateway, or an in-house OpenAI-compatible proxy, including configuration-driven model definitions, routing and fallback rules, and virtual key management.
Familiarity with open-weight models and trade-offs between regional and multilingual models, including Spanish-language models and LATAM sovereign AI initiatives.
Experience with inference-serving engines such as vLLM, SGLang, or TGI for production serving, or Ollama for lightweight on-premises deployments, and experience sizing GPU capacity for self-hosted models based on key-value cache footprint, concurrent batch size, and context length relative to VRAM.
SQL proficiency with PostgreSQL, MySQL, or Oracle.
ETL and data-wrangling experience.
CI/CD pipeline design and automation.
Background in telecommunications, CPaaS, or high-growth SaaS.
Experience with sovereign or on-premises cloud deployments and Mexican/LATAM regulatory frameworks, including LFPDPPP, INAI data protection, Federal Telecommunications Law, IFT regulations, and nearshoring IT environments.
Security mindset involving identity and access management, encryption, and audit logging.

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 building a local Enterprise Sales Pod in Mexico City — one AE and one Forward Deployed Engineer (FDE), working together to build a Telnyx enterprise business in your market. You'll embed directly with enterprise customers to architect and ship production systems on Telnyx's global network — voice, messaging, AI, and wireless. This isn't about demoing products. It's about building real solutions that work at scale.

You'll work side-by-side with a dedicated Enterprise AE — not a demo resource, but a commercial partner who owns the named-account list, builds executive relationships, and closes the deal. You own the technical side: discovery, architecture, POC, and production go-live. You win together. No throw-over-the-wall.

The Pod Model

Enterprise AE — owns the named-account list, builds executive relationships, gets in the room, owns commercial qualification and close, expands the account.
Forward Deployed Engineer — owns technical discovery, designs the architecture, builds the POC when gated, gets the first workload live, removes blockers and finds the next workload.
We sell the workload, not the SKU. Customers buy a production outcome — an AI contact center, a SOC/NOC agent, global communications, connected mobility, or enterprise inference — that runs on Telnyx primitives (voice, messaging, numbers, wireless, Voice AI, inference, agents, connectivity). You lead with the outcome conversation, not a product menu.

What You'll Do

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 AGRITE, or other Spanish-language 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 Spanish and English language use cases and Mexico/LATAM-specific regulatory environments (LFPDPPP, data localization, INAI compliance)
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 Mexico and the broader LATAM region
Create clear technical documentation, runbooks, and maintainable solutions for handoff
Troubleshoot and resolve complex integration issues alongside customer teams

What We're Looking For

CS degree or equivalent experience
3+ years building and shipping production software — you've written code that real users depended on, you've been on-call for it, and you've debugged it when things broke. (A consulting background counts if this is also true of you.)
Proficiency in multiple languages: Python, Node.js/TypeScript, Go — you're more dangerous in some than others. (Telnyx Edge Compute — functions and stateful actors — is TypeScript, so that one pulls double duty.)
Practical understanding of what breaks in front of a model in production: provider rate limits and quotas, timeout and retry behavior, streaming, token accounting and cost attribution, and the failure modes that only show up under concurrency
Comfortable deploying containerized services on Kubernetes, with secrets management, config, and upgrades as part of the deployment story
You've wired observability and been paged because of it — Prometheus + Grafana, OpenTelemetry, Graylog, ELK, or equivalent. You know what to monitor, what to alert on, and what "healthy" looks like
High-concurrency experience — Kafka, message queues, or event streams at real scale. When throughput spikes you know what breaks — consumer lag, backpressure, hot partitions, rebalance stalls — and what absorbs it: partitioning, consumer groups, parallelism up to your partition count
You've built APIs from scratch, not just consumed them — OpenAPI spec, REST/GraphQL design, auth, rate limiting, versioning, idempotency
Event-driven thinking and cloud-native instincts
Exposure to SIP, WebRTC, or real-time voice/messaging systems
Self-sufficient by default — there's no engineering team behind you. You read the code and the docs, ask the customer (not your manager), and make sound engineering judgment calls on your own
Customer-facing engineering experience — you can run discovery with a customer's engineers and present to their executives in the same week
Ability to translate "it's not working" into root cause
Comfortable working on customer sites and in high-stakes technical conversations
Excellent written and verbal communication in English and Spanish. You can run whiteboard sessions, live troubleshooting, and escalations with customer engineering teams.
Based in Mexico City, or willing to relocate — this is a hybrid role with travel across Mexico and the broader LATAM region
Legally authorized to work in Mexico, or eligible for sponsorship

Bonus Points For

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 — LiteLLM, Portkey, Kong AI Gateway, or an in-house OpenAI-compatible proxy — including config-driven model definitions, routing and fallback rules, and virtual key management
Familiarity with the open-weight model landscape and the trade-offs between regional and multilingual models, including Spanish-language models and LATAM sovereign AI initiatives
Experience with an inference serving engine behind the gateway — vLLM, SGLang, or TGI for production serving; Ollama for lightweight on-prem — and sizing GPU capacity for self-hosted models (KV-cache footprint, concurrent batch size, and context length against VRAM)
SQL proficiency (Postgres, MySQL, Oracle)
ETL and data wrangling experience
CI/CD pipeline design and automation
Background in telecom, CPaaS, or high-growth SaaS
Experience with sovereign or on-prem cloud deployments and Mexican/LATAM regulatory frameworks (LFPDPPP, INAI data protection, Federal Telecommunications Law, IFT regulations, nearshoring IT environments)
Security mindset (IAM, encryption, audit logging)

#LI-RH1

About the Company

Telnyx

Cloud-based voice, messaging, and wireless services

Telnyx provides cloud-based communication services for businesses, including voice, messaging, wireless, and fax, accessed through its Mission Control Portal. It operates on a pay-as-you-go model where customers are billed for usage such as calls, texts, and data. The company differentiates itself by owning and operating a global IP network, which improves performance, reliability, and security, along with extensive support resources for customers. Its goal is to enable businesses of all sizes to communicate reliably and securely over the internet through scalable, usage-based services.

Company size: 201-500
Company stage: Seed
Total funding: $1M
Headquarters: Austin, TX
Founded: 2009

Recently Posted Jobs

Explore more opportunities at Telnyx

See more jobs