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Dialpad Logo Dialpad · IT - Software Development

Sr AI Engineer - Agentic Systems

United States, Anywhere · Job Posted July 02, 2026
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Job Description

As a core technical leader within our Agentic AI initiatives, you will shape the vision, architecture, and execution of Dialpad's next-generation AI platform, moving the industry beyond passive copilots into autonomous workflow execution. Working closely with Product, Applied Research, Design, and executive leadership, you will build production-grade systems where AI agents reason, act, coordinate, and safely execute workflows. You 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.

Job Responsibility

  • Drive Technical Strategy: Own the architectural roadmap and delivery of Dialpad’s Agentic infrastructure, core orchestration layers, memory architectures, and evaluation/observability systems
  • Build & Scale: 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
  • Mentor & Influence: Act as a technical anchor for the organization, raising the engineering bar, mentoring senior peers, and defining technical standards for an AI-native SDLC
  • Partner Cross-Functionally: Collaborate with leadership across Product, Engineering, and Applied Research to align technical execution with Dialpad’s long-term business strategy
  • Push the Frontier: 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

Requirements

  • 8+ years of relevant software engineering experience
  • 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
  • Experience with LLM Platforms: Inference optimization and fine-tuning strategies
  • Experience with Data & Retrieval: Advanced retrieval systems and memory architectures
  • Experience with Agent Frameworks like LangChain/LangGraph, CrewAI, or AWS/Google Agent ecosystems
  • Experience with AI Ops: Evaluation, observability, and safety frameworks for production AI systems
  • Experience with Real-Time Infrastructure: Streaming infrastructure and voice/conversational AI
  • Experience with Tool Integration: Tool use, API execution frameworks, and human-in-the-loop validation systems
  • Operational Excellence: Experience setting clear technical goals, identifying architectural risks, and systematically clearing tech-debt gaps

What we offer

  • Competitive salary
  • Comprehensive benefits
  • Real opportunities for growth
  • Cutting-edge AI tools
  • Robust training program
  • Inclusive office environment
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