#LI-KG1 #LI-REMOTE

About you

We’re looking for people with a strong background or interest in building successful products or systems; you’re comfortable in dealing with lots of moving pieces; you have exquisite attention to detail; and you’re comfortable learning new technologies and systems.

The Opportunity

We have backend engineers in almost every team across Telnyx, and in that role, you’ll be making some of the most significant decisions for the company. You’ll get to work with other engineers to build delightful features that span various parts of the system, as well as our business, sales, and operations teams to understand and solve our users’ pain points.

• Design, build, and maintain APIs, services, and systems across Telnyx’s engineering teams.
• Debug production issues across services and multiple levels of the stack.
• Work with engineers across the company to build new features at large scale.
• Improve engineering standards, tooling, and processes.

What We're Looking For

• Have 6+ years of professional software development experience with a functional programming language (Elixir/Erlang is preferred).
• Have experience working with relational databases at scale.
• Have deep knowledge of microservice architecture patterns and anti-patterns.
• Have experience with message queues like RabbitMQ and Kafka.
• Understand the challenges inherent in concurrent and distributed programming.
• Have experience with more exotic databases/key-value stores such as ETS, Mnesia, Cassandra and Redis.
• Have familiarity with Docker, Kubernetes, Consul, Jenkins, Prometheus, or RabbitMQ.

Bonus Points For

• You take a thoughtful approach to decision-making, knowing when to move fast and when to long-term optimize.
• You want to work in a fast-paced, product-driven environment.
• You keep up to date with the latest technologies and patterns and enjoy sharing what you’ve learned.

#LI-VIETNAM
#LI-KG1

About you

We are looking for someone who is a whizz with Python, has experience with microservices, and is happy to get stuck into a gritty, fast-paced environment to work within our awesome Python team, championing and leading the build of secure, robust, and high-performance systems. 

The Opportunity

Our Python team builds highly available, low-latency microservices from scratch using the latest bleeding-edge technologies.

You will own and develop multiple services across our revenue domain billing, tax calculation, customer commitment management, and AI-powered revenue operations agents. You'll have the opportunity to make a huge impact on our growing company by solving complex problems as we scale. You'll be part of a group of people working together to build solutions to mission-critical problems and a company that values the very best ideas. People rely on our products to communicate daily, which means they rely on us to build things with a high degree of resiliency and reliability.

• Design developer/agent-friendly APIs.
• Build, test, and deploy applications to deliver critical global communications services.
• Identify and resolve issues related to latency, scalability, and performance.
• Create tools and AI agents to automate revenue operations.
• Investigate and resolve production issues by tracing through logs, data, and code to find root causes.
  
  

Who we're looking for

• 5+ years of professional software development experience with an object-oriented programming language
• Experience with web application development using Python (FastAPI, aiohttp, or similar).
• Experience designing and building RESTful APIs.
• Experience working with asynchronous programming
• Comfort working with PostgreSQL and relational databases at scale, including schema migrations, raw SQL queries and query optimization.
• Experience with event-driven architectures and message brokers (RabbitMQ, Kafka or similar).
• Experience in a highly available, uptime-critical production environment.
• Deep knowledge of microservice architecture patterns and anti-patterns
• Familiarity with Docker, Kubernetes, Consul, GitHub Actions, Argo CD, Prometheus, or OpenTelemetry.
• Strong troubleshooting skills — you can dig through logs, query databases, trace distributed systems, and read unfamiliar code to get to the bottom of an issue.
• Comfortable owning services in production, including on-call responsibilities and incident resolution.
• Comfortable using AI coding agents as part of your investigation workflow, while knowing when to rely on your own judgement.

Bonus Points For

• Experience with billing, tax, or financial systems.
• Telecom domain knowledge
• Experience with SQLAlchemy and Alembic.
• You take a thoughtful approach to decision making, knowing when to move fast and when to long-term optimize.
• You want to work in a fast-paced, product-driven environment.
• You keep up to date with the latest technologies and patterns, and enjoy sharing what you've learned.
• Familiarity with agent communication protocols (MCP, A2A).
• Experience building AI agents or LLM-powered applications.

#LI-KG1

#LI-BRAZIL

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-BRAZIL
#LI-INDIA

About the Role

The AI Integrations team builds the tools that bring AI into Telnyx's core products — think voice agents, intelligent messaging, and real-time AI features that improve our customer experience. We need a strong fullstack engineer to help us move faster.

This is a mid-level IC role. You'll own features end-to-end: building React interfaces, writing Node.js services, wiring up databases, and shipping things that work. AI experience isn't required — you'll pick that up here. What matters is that you can build solid fullstack products and want to learn.

What You'll Work On

• Fullstack features across our AI product suite — frontend to database
• Integrating LLMs and AI capabilities into real world applications (with support from the team)
• Building interfaces that make complex AI tools feel simple
• Shipping iteratively — we value working software over perfect plans

Tech Stack

Core (you should know this well):
React 18+, TypeScript, Tailwind CSS, Node.js, PostgreSQL, Prisma, TanStack Query, Docker, Kubernetes

Bonus (nice to have, happy to teach):
Next.js 15+, LLM integration, LangChain/LangGraph RAG/Embeddings, Vector Databases, MCP, WebSockets, WebRTC, Radix UI, Shadcn UI, Framer Motion

What We're Looking For

You're genuinely comfortable across the stack — not a frontend dev who can "do backend" or vice versa. You've built and shipped real features. You take ownership, communicate clearly, and don't need hand-holding.

AI interest is a plus, but we'd rather have a strong fullstack engineer who's curious than an "AI enthusiast" who can't ship.

We move fast on modern web tooling (React/Next, TypeScript, Tailwind). Expect frequent upgrades.

Values

• Ownership — you see things through
• Collaboration — you work well with others and communicate proactively
• Adaptability — comfortable with ambiguity and changing requirements
• Growth mindset — eager to learn, takes feedback well


#LI-KG1 #LI-VIETNAM
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems
  
  
  

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-BRAZIL

About the Role

We are looking for a Senior Engineer to join the Pricing, Costs & Routing (PCR) squad. You will own the automation and data pipelines that power pricing, billing, and financial reporting across Telnyx's product portfolio — voice, messaging, wireless, and more. This is a backend-heavy role working with Airflow DAGs, rate deck management, cost analysis, and pricing APIs at scale.

What You Will Do

• Own and maintain complex Airflow DAGs for pricing automation, margin reporting, and cost analysis
• Build and manage rate deck pipelines across multiple product lines
• Develop and maintain pricing APIs and services in Python (async)
• Analyze CDR/MDR data to identify vendor discrepancies and drive refund/reconciliation workflows
• Build automated discrepancy resolution and self-healing pipelines
• Create and maintain financial reporting: monthly margin reports, negative margin alerts, GP calculations
• Design and build new automation for quoting workflows

What You Bring

• 5+ years of Python experience with strong async programming (aiohttp, asyncpg, FastAPI)
• Airflow production experience — you've built and maintained complex DAGs, not just run them
• SQL fluency across PostgreSQL and analytical databases (Athena, BigQuery, or similar)
• Comfort working with financial and pricing data (margins, markups, cost basis, currency)
• Ability to read and debug Java services when needed
• CI/CD experience with Docker, Jenkins, or GitHub Actions

Nice to Have

• Go experience
• Telecom or CPaaS background (CDRs, termination rates, origination prefixes)
• Salesforce or CRM integration experience
• Experience with pricing engines or billing systems
• AI coding agent experience — the team uses AI-assisted tooling heavily

The Impact You'll Drive

As a Senior ML Engineer (Speech Synthesis), you’ll be a founding member of the team building Telnyx’s next-generation speech synthesis systems. This is a greenfield opportunity — you’ll define the stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power our voice AI agents.

You’ll build everything from distributed training pipelines to inference services that generate ultra-low-latency, lifelike voices across dozens of languages. Your work will bridge research and production — shaping how millions of people experience real-time conversational AI.

What You’ll Work On

• Own the stack from day one: Design and implement the ML training and inference pipelines for multilingual speech synthesis.
• Low-latency TTS: Engineer systems optimized for real-time, streaming speech generation with sub-100ms response targets.
• Train cutting-edge models: Build and fine-tune multilingual TTS systems using modern architectures — including LLM-based, diffusion, and flow-matching approaches.
• Massive-scale data processing: Develop pipelines for ingesting, aligning, and normalizing text, audio, and phonetic data across dozens of languages.
• Experimentation at scale: Run distributed training across multi-node GPU clusters, tracking results and iterating quickly.
• Cross-functional collaboration: Work with infrastructure and voice platform teams to deploy models that scale globally.
• Research meets production: Evaluate emerging techniques (LLM-guided synthesis, zero/few-shot voice cloning, full-duplex modeling) and bring them to life in production-grade systems.

What You’ll Work With

• Infrastructure: Docker, Kubernetes, Ray, Kubeflow, MLflow, Weights & Biases
• Data Systems: Kafka, Redis, PostgreSQL, Parquet
• You’ll define it: You’ll help select and implement the stack that supports distributed training, data processing, and inference for global deployment.

What We’re Looking For

• 6+ years of experience in machine learning or speech systems engineering
• Hands-on expertise with neural TTS, speech synthesis, or adjacent areas (ASR, voice cloning, multilingual modeling)
• You’ve obsessed over one or two hard problems, whether it’s building multilingual TTS from noisy data, teaching LLMs to speak, designing self-supervised audio encoders, or making diffusion models run in real time.
• Experience with LLM-based approaches to speech synthesis or prosody control
• Strong proficiency in Python and PyTorch
• Ability to deploy models efficiently (ONNX, TensorRT)
• Experience leading small teams and defining technical direction or team executables
• Production mindset: You build systems that run fast, stay stable, and are easy to maintain

Why Telnyx

You’ll be joining a company where voice, infrastructure, and AI converge. Telnyx is building the foundation for real-time, intelligent global communications — and your work on multilingual TTS will be at the core of that vision.



#LI-KG1
#LI-REMOTE

Our backend team is building a highly-available and distributed data pipeline that powers Telnyx products like Voice, Messaging and Wireless. We leverage the Telnyx private backbone network to build a cloud-agnostic data platform that processes thousands of messages per second.

With our lean team, we're currently running and managing more than 30 dockerized microservices deployed in multiple regions in the U.S. and Europe. We are looking for a senior Java backend engineer with deep knowledge of Java Core.

In this role you will

• Work on 30+ microservices implemented in Java 11 and Scala that process, aggregate and expose all data our telecommunication and messaging engines generate
• Improve performance of our pipeline — we currently process 10k messages/sec and are growing
• Architect our services and pipelines so they work with minimum latency in all our locations around the world (U.S., E.U., Australia, South America)
• Implement fraud detection processes with machine learning (Kafka and Kafka Streams)
• Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime
• Push code to production multiple times a day

What we're looking for

• Degree in Computer Science, Information Technology, or equivalent work experience
• 4+ years of experience with Java and its ecosystem of tooling
• Experience with at least one of these databases: Cassandra, ClickHouse, or OpenSearch
• Experience with AI tooling, or a strong willingness to learn

Nice to have

• Experience with Scala or another functional programming language
• Experience with Linux, Git, and Docker in a CI environment
• Experience with distributed systems and systems that maintain "five nines" (99.999%) of uptime

LI-KG1
LI-DUBLIN
LI-BRAZIL