Senior Software Engineer, Backend (AI Agent Integrations)

About the role

Cresta’s AI Agent team is building enterprise-grade AI Agents that can operate inside real-world contact center environments. A critical part of that mission is enabling our AI Agents to seamlessly integrate with customers’ CCaaS platforms, including voice and digital channels — and to smoothly transition conversations between AI and human agents when needed.

This role is focused on building the backend systems that allow our AI Agents to:

• Integrate deeply with leading CCaaS platforms
• Participate in live customer conversations across voice and chat
• Maintain full conversation state and context
• Perform real-time actions within the CCaaS ecosystem
• Seamlessly hand off conversations to human agents — without losing context, history, or workflow state
• Support human agents with AI assistance after transfer

We are looking for strong backend engineers who want to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI Agent orchestration.

This is not a pure research role — it is about building production-grade infrastructure that enables AI Agents to operate reliably in mission-critical customer environments.

Why This Role Is Unique

• AI + Real-Time Systems: Work on infrastructure that enables AI Agents to participate in live conversations at scale.
• Enterprise-Grade Integrations: Design robust integrations with major CCaaS platforms and customer systems.
• Human-AI Collaboration: Build the systems that make AI-to-human handoff seamless, contextual, and reliable.
• High-Impact Engineering: Your work directly determines how smoothly AI Agents operate in production environments.

If you’re a strong backend engineer who wants to apply your expertise to real-world AI systems operating inside complex enterprise ecosystems, this role offers that opportunity.

Responsibilities

• Design and build scalable backend services that integrate Cresta’s AI Agents with customers’ CCaaS platforms.
• Architect systems that manage real-time conversation state, context propagation, and session lifecycle.
• Implement seamless AI-to-human handoff mechanisms, ensuring full context transfer and minimal disruption to the customer experience.
• Develop secure and reliable integrations with CCaaS APIs (voice, chat, messaging, routing, agent desktop, etc.).
• Collaborate closely with ML engineers and AI researchers to operationalize AI Agent capabilities in live environments.
• Ensure high availability, low latency, and strong observability for real-time conversation systems.