About The Position

As a core technical leader within Dialpad's Agentic AI initiatives, you will shape the vision, architecture, and execution of the company's next-generation AI platform. This role involves moving the industry beyond passive copilots into autonomous workflow execution. You will work closely with Product, Applied Research, Design, and executive leadership to build production-grade systems where AI agents reason, act, coordinate, and safely execute workflows. The position will help pioneer an advanced multi-agent orchestration framework capable of real-time conversational reasoning and tool execution over massive enterprise datasets, while fostering an AI-native engineering culture.

Requirements

  • 8+ years of relevant software engineering experience, with a proven track record of technical leadership (as a Senior, Staff, or Principal Engineer) shipping complex, large-scale systems.
  • Strong foundations in scaling distributed systems and production-grade infrastructure before evolving into applied AI, LLM platforms, and agentic architectures.
  • Shipped production systems where AI agents reason, act, coordinate, and safely execute workflows.
  • Deep expertise in LLM Platforms: Inference optimization and fine-tuning strategies.
  • Deep expertise in Data & Retrieval: Advanced retrieval systems and memory architectures.
  • Hands-on experience with Agent Frameworks: Frameworks like LangChain/LangGraph, CrewAI, or AWS/Google Agent ecosystems.
  • Deep expertise in AI Ops: Evaluation, observability, and safety frameworks for production AI systems.
  • Deep expertise in Real-Time Infrastructure: Streaming infrastructure and voice/conversational AI.
  • Deep expertise in Tool Integration: Tool use, API execution frameworks, and human-in-the-loop validation systems.
  • Experience setting clear technical goals, identifying architectural risks, and systematically clearing tech-debt gaps.
  • Ability to thrive in ambiguity, build cutting-edge AI products from the ground up, and scale them into robust, self-sustaining enterprise systems.

Responsibilities

  • Own the architectural roadmap and delivery of Dialpad’s Agentic infrastructure, core orchestration layers, memory architectures, and evaluation/observability systems.
  • Design and deploy scalable, multi-modal AI agents capable of autonomous support, real-time voice reasoning, and secure API tool execution across complex enterprise workflows.
  • Act as a technical anchor for the organization, raising the engineering bar, mentoring senior peers, and defining technical standards for an AI-native SDLC.
  • Collaborate with leadership across Product, Engineering, and Applied Research to align technical execution with Dialpad’s long-term business strategy.
  • Research and implement emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and cutting-edge safety/policy guardrails to keep Dialpad at the absolute forefront of the "era of the agent."

Benefits

  • Competitive salary
  • Comprehensive benefits
  • Real opportunities for growth
  • Cutting-edge AI tools
  • Robust training program
  • Inclusive offices
  • Vibrant environment to cultivate collaboration and connection
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