C
Cresta
Senior Backend Software Engineer (AI Agent Integrations)
Skills
Google Cloud PlatformDockerMachine LearningAIAWSKubernetesComplianceAzure
2 months ago
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Important information
Contract type:
Permanent
Location:
Canada
Work mode:
Onsite
Published on:
29 August 2026
What they need
- 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
- 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
- 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
- Weekly lunch & learn
- Work with an A+ team of ex-Founders, world leading scientists, and nationally competitive athletes
- Mentorship - A world class mentorship board advises and mentors our team-members to capture the opportunity ahead of us- 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
- Familiarity with AI Agents, Virtual Agents, or LLM-based systems is a plus
- Strong experience designing and maintaining robust APIs (REST, gRPC)
- Solid understanding of distributed systems and real-time communication architectures
- 5+ years of experience building scalable backend systems in production environments
- Experience with cloud platforms such as AWS, GCP, or Azure
- Experience integrating with third-party enterprise platforms and APIs
- Strong understanding of system reliability, observability, and security in enterprise environments
- Experience working with CCaaS platforms or contact center systems is a strong plus
- Experience with containerized environments (Kubernetes, Docker)
- Bachelor’s degree in Computer Science or related field
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