🕒 yesterday
Build and ship customer-specific AI automations and agents, turning recurring creative requests into reusable systems while setting quality standards, documenting solutions, and partnering with Product and studio teams.
AI Forward Deployed Engineer
🕒 yesterday
Software EngineeringProduction SystemsLLMsAI Agents
📜 Description
- Design, build, and operate production services for AI agents.
- Create internal tools that help employees work more effectively.
- Build external integrations, connectors, and tools for customers.
- Develop reusable agent capabilities for meetings, browsing, search, email, and payments.
- Define reliable interfaces and workflows for agent tool use.
- Collaborate with product and engineering teams to turn use cases into services and improve platform safety, observability, testing, and reliability.
🛠️ Requirements
- Strong software engineering experience, including ownership of production systems.
- Comfort working with LLMs, AI agents, tool calling, and agent orchestration.
- Good judgment around reliability, security, permissions, and external side effects.
- An ability to work through ambiguous problems and turn early ideas into maintainable products.
- Clear communication and a practical, hands-on approach to engineering.
Full job description
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.
We are looking for a Senior Software Engineer to join our AI Enablement team to help enable both our customers and our internal employees with tools that make their lives easier. You will develop and integrate tools that make employees better at their job while simultaneously making sure customers can easily integrate with our services whenever they use AI.
Additionally you will develop and maintain agent primitives such as meeting participation, web search, browser automation, email, payments, and related services. These capabilities will give agents secure, reliable ways to join meetings, browse the web, communicate, make purchases, and complete tasks on behalf of users.
This role combines product engineering, platform design, applied AI, and support. You will work on services that must behave predictably in production, handle external systems safely, and expose clear interfaces that agents can use effectively.
What you’ll do
- Design, build, and operate production services for AI agents.
- Build internal tools that make our employee’s lives easier
- Build external integrations, connectors and tools that make customer integrations more seamless
- Develop reusable primitives for meetings, browsing, search, email, payments, and adjacent capabilities.
- Define reliable interfaces and workflows for agent tool use.
- Work closely with product and engineering teams to turn new agent use cases into practical services.
- Improve safety, observability, testing, and operational reliability across the platform.
- Help shape the architecture and direction of our agent enablement platform.
What we’re looking for
- Strong software engineering experience, including ownership of production systems.
- Comfort working with LLMs, AI agents, tool calling, and agent orchestration.
- Good judgment around reliability, security, permissions, and external side effects.
- An ability to work through ambiguous problems and turn early ideas into maintainable products.
- Clear communication and a practical, hands-on approach to engineering.
Experience with agent frameworks and runtimes such as Hermes Agent or OpenClaw is a plus.
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