Senior Backend Engineer, Agentic AI Systems

Socket.dev; Town of Florida (NY); On-site; USD 204,000 - 233,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Great culture

Job summary

Dialpad is building the next generation of agentic AI at scale, delivering real-time, AI-powered experiences for customer interactions. You will join the Applied AI team to turn advanced capabilities into reliable, scalable, customer-facing solutions.

This hands-on role focuses on building agentic systems at the intersection of AI, backend services, and product delivery, collaborating across engineering, product, and research to solve complex technical problems with measurable impact.

Qualifications

• 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.

Responsibilities

• Design scalable backend services and distributed systems for agentic AI applications.
• Collaborate with Applied Scientists to productionize models and evaluation methods.
• Build software connecting models, tools, data, and feedback into robust AI experiences.
• Develop APIs, data flows, and integration patterns for low-latency AI services.
• Implement deployment, monitoring, and safe rollout for models.

Skills

5+ years experience

Backend systems

APIs

Cloud infrastructure

Agentic AI

Python

Observability

Cross-functional collaboration

Job description

Dialpad is building the next generation of agentic AI at scale, delivering real-time, AI-powered experiences for customer interactions. You will join the Applied AI team to turn advanced capabilities into reliable, scalable, customer-facing solutions.

This hands-on role focuses on building agentic systems at the intersection of AI, backend services, and product delivery, collaborating across engineering, product, and research to solve complex technical problems with measurable impact.