Senior Software Engineer (AI Enablement)

Job Description

• We are looking for a Senior Software Engineer to join our AI Enablement team and build the services that allow AI agents to interact with the real world
• 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, and applied AI. You will work on services that must behave predictably in production, handle external systems safely, and expose clear interfaces that agents can use effectively
• Design, build, and operate production services for AI agents
• 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

Benefits

• Flexible, global team: Reaching our full potential means hiring people from all walks of life. Telnyx allows employees to work from home, and we offer in-person options for team members in Amsterdam, Chicago, Dublin and Warsaw
• Modern life, modern accommodations: Working in the business of innovation means offering support to our team to help them stay innovative. Telnyx offers unlimited personal time off to help employees recharge
• Benefits based on location: With team members across the globe, Telnyx offers competitive perks and benefits based on location. Employees in Ireland, the UK, and the US are eligible for healthcare benefits, and US employees also have access to 401(k) matching

• Strong software engineering experience, including ownership of production systems
• Comfort working with LLMs, AI agents, tool calling, and agent orchestration
• Clear communication and a practical, hands-on approach to engineering
• An ability to work through ambiguous problems and turn early ideas into maintainable products
• Good judgment around reliability, security, permissions, and external side effects
• Experience with agent frameworks and runtimes such as Hermes Agent or OpenClaw is a plus