# Sr. Software Engineer (Agentic Systems)

**Company**: Dialpad
**Location**: San Francisco, US
**Experience**: senior
**Job type**: full-time
**Salary**: $224,500-$251,500 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/dialpad/jobs/8633547002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4280a6ba-172

## 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.

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.

**Benefits**

- Competitive salary, comprehensive benefits, and real opportunities for growth

- Work at the center of the AI transformation in business communications

- Build and ship agentic AI products that are redefining how companies operate

- Join a team where AI amplifies every employee's impact

## Skills

### Required
- AI engineering
- Agentic systems
- LLM platforms
- Distributed systems
- Production-grade infrastructure
- Leadership
- Inference optimization
- Fine-tuning strategies
- Advanced retrieval systems
- Memory architectures
- Agent frameworks
- AI ops
- Evaluation
- Observability
- Safety frameworks
- Real-time infrastructure
- Streaming infrastructure
- Voice/conversational AI
- Tool integration
- API execution frameworks
- Human-in-the-loop validation systems
- Operational excellence

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/dialpad/jobs/8633547002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)