Software Engineer (Agentic Systems)

About the role

Dialpad is seeking a core technical leader to shape the vision, architecture, and execution of Dialpad’s next-generation AI platform. This role involves driving technical strategy, building and scaling production-grade systems, mentoring and influencing the organization, and partnering cross-functionally to align technical execution with Dialpad's long-term business strategy.

Responsibilities

• 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

• Experience: 10+ years of relevant software engineering experience, with a proven track record of technical leadership (as a Staff, Senior Staff, or Principal Engineer) shipping complex, large-scale systems.
• Systems Background: Strong foundations in scaling distributed systems and production-grade infrastructure before evolving into applied AI, LLM platforms, and agentic architectures.
• Leadership: Ability to lead and grow a small group of engineers.
• LLM Platforms: Inference optimization and fine-tuning strategies.
• Data & Retrieval: Advanced retrieval systems and memory architectures.
• Agent Frameworks: Hands-on experience with frameworks like LangChain/LangGraph, CrewAI, or AWS/Google Agent ecosystems.
• AI Ops: Evaluation, observability, and safety frameworks for production AI systems.
• Real-Time Infrastructure: Streaming infrastructure and voice/conversational AI.
• 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.
• The 0→1 Archetype: Ability to thrive in ambiguity, build cutting-edge AI products from the ground up, and scale them into robust, self-sustaining enterprise systems.

Qualifications

• Experience with AI and machine learning technologies.
• Strong understanding of distributed systems and cloud computing.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Passion for innovation and continuous improvement.

Skills

• Experience with AI and machine learning technologies.
• Strong understanding of distributed systems and cloud computing.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Passion for innovation and continuous improvement.

Benefits

California Salary Range: $176,000—$209,000 USD

Pay

For exceptional talent based in California, the target base salary range for this position is posted above. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Schedule

This position reports directly to our Senior Director of Engineering and has the opportunity to be based in our San Francisco office.