Sr. Software Engineer (Agentic Systems)

About the role

Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. This position reports directly to our Senior Director of Engineering and has the opportunity to be based in our San Francisco office.

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, machine learning, and natural language processing technologies.
• Strong understanding of distributed systems, cloud computing, and data management.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Passion for innovation and a commitment to excellence.

Skills

• Experience with AI, machine learning, and natural language processing technologies.
• Strong understanding of distributed systems, cloud computing, and data management.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Passion for innovation and a commitment to excellence.

Benefits

California Salary Range $224,500—$251,500 USD

We offer competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.