Sr. Software Engineer, Applied AI Systems

Dialpad•Austin, TX

23h

About The Position

Dialpad is building AI that helps businesses communicate, resolve customer needs, and automate work in real time. Our Applied AI team develops models, agentic capabilities, and evaluation methods that power these experiences. As a Sr. Software Engineer, Applied AI Systems, you will build the software systems that power Dialpad’s next-generation agentic AI. You will work closely with Applied Scientists and partner with engineering teams to turn advanced AI capabilities into reliable, scalable customer-facing experiences. This is a hands-on role for an engineer who enjoys building agentic systems at the intersection of AI, backend services, and product delivery. You will help shape how DialpadGPT models are integrated, evaluated, monitored, and deployed in next-generation AI products, including real-time conversational experiences.

Requirements

5+ years of professional software engineering experience building and operating production services.
Strong experience with backend systems, distributed services, APIs, and cloud-based infrastructure.
Experience building agentic systems, LLM-powered applications, model-serving systems, or AI-enabled backend services in production.
Strong programming skills in Python and/or other backend languages, with a focus on clean, maintainable, well-tested code.
Experience with service observability, debugging, performance optimization, and production incident response.
Ability to work effectively in an ambiguous, fast-moving environment and translate technical prototypes into durable systems.
Strong communication and collaboration skills, especially when working with Applied Science, product, and engineering partners.

Responsibilities

Design and build scalable backend services and distributed systems for agentic AI applications.
Partner with Applied Scientists to bring models, evaluation methods, and agentic capabilities from prototype to production.
Build software that connects models, tools, data, and evaluation feedback into robust AI experiences.
Develop APIs, data flows, and integration patterns for low-latency, high-quality AI services.
Build systems for model deployment, release management, monitoring, evaluation, and safe rollout.
Improve the reliability, latency, scalability, and cost efficiency of production AI systems.
Contribute to the evolution of DialpadGPT and the engineering systems that support next-generation agentic experiences.
Work across engineering, product, and research to resolve complex technical problems and deliver measurable customer impact.