Staff Software Engineer, Backend

Role Description

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 (Contact Center as a Service), 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.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience building scalable backend systems in production environments.
• Strong experience designing and maintaining robust APIs (REST, gRPC).
• Solid understanding of distributed systems and real-time communication architectures.
• Experience integrating with third-party enterprise platforms and APIs.
• Experience working with CCaaS platforms or contact center systems is a strong plus.
• Familiarity with AI Agents, Virtual Agents, or LLM-based systems is a plus.
• Experience with containerized environments (Kubernetes, Docker).
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Strong understanding of system reliability, observability, and security in enterprise environments.

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.
• Implement authentication, authorization, compliance, and enterprise security best practices across integrations.
• Drive improvements in reliability, performance, and scalability in production environments handling high interaction volumes.

Benefits

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Paid parental leave to support you and your family.
• Monthly Health & Wellness allowance.
• Work from home office stipend to help you succeed in a remote environment.
• Lunch reimbursement for in-office employees.
• PTO: 3 weeks in Canada.
• Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.