Sr. Software Engineer (Agentic Runtime)

About Dialpad Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role Dialpad’s AI Engineering organization is responsible for building and maintaining customer-facing AI features at scale across all of our cloud-native products and services. Every day, millions of users worldwide leverage our technology to communicate effectively and efficiently. Dialpad's Agentic Runtime team owns the infrastructure and execution engine that runs AI agents at scale across Dialpad's core product modalities — including voice, messaging, video, and digital engagement. From multi-step task orchestration and tool execution to real-time context management and agent memory, our team builds the foundational platform that powers Dialpad's next-generation intelligent, autonomous experiences. Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, QA Specialists, and Engineers specializing in Distributed Systems, ML Infrastructure, and Platform Engineering. This position reports to the Engineering Manager, who is based in Kitchener, CA, and has the opportunity to be based in our Buenos Aires, Argentina office. What you’ll do Contribute to the design, development, and maintenance of agentic runtime systems, including agent orchestration, tool execution pipelines, and multi-step reasoning loops. Build and optimize core runtime components, including task planners, action dispatchers, memory managers, and context window management systems. Work on agent coordination techniques, including dynamic tool selection, parallel agent execution, state management, and result aggregation across multi-agent workflows. Maintain and enhance highly scalable agentic platforms with a focus on low-latency execution, cost efficiency, and deterministic behavior. Ensure high availability, reliability, and fault tolerance in agent runtime services, including graceful degradation when LLM or tool calls fail. Collaborate with cross-functional teams — including ML researchers, product, and platform engineers — to translate agentic product requirements into robust runtime infrastructure. Develop and optimize real-time distributed systems, microservices, and event-driven architectures powering agentic task execution. Design and implement sandboxed execution environments for safe agent use of tools, code execution, and external API calls. Implement and maintain monitoring, alerting, and performance metrics covering agent run success rates, token consumption, latency, and cost attribution. Evaluate and integrate emerging agentic frameworks, LLM APIs, and tooling ecosystems to continuously improve platform capabilities. Write clean, modular, and well-tested code while following best engineering practices in a rapidly evolving problem space. Participate in code reviews to ensure the quality, maintainability, and scalability of runtime components. Provide mentorship and technical guidance to junior engineers navigating the unique challenges of agentic systems. Skills you’ll bring 3–6 years of experience in distributed systems, platform engineering, or ML infrastructure, with exposure to LLM-based or agentic systems strongly preferred. Strong understanding of agent architectures, including ReAct, plan-and-execute, and multi-agent coordination patterns. Deep knowledge of context management, prompt lifecycle, tool-call protocols (e.g., function calling, MCP), and agent memory strategies (short-term, episodic, and long-term). Experience integrating and managing ext