Senior Software Engineer, Backend (AI Agent Integrations)

Remote from: Canada
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Software Engineering
Employment type: Full Time,
Job posted: 10 Jul 2026
Apply before: 10 Aug 2026
Experience level: Senior
Views / Applies: 21 / 1

Real-Time Intelligence for Contact Centers

Actively Hiring

AI Summary

Cresta is hiring a Senior Software Engineer, Backend for AI Agent Integrations to build enterprise-grade systems that enable AI agents to operate in real-world contact center environments. The role focuses on integrating with CCaaS platforms, managing real-time conversation state, and enabling seamless AI-to-human handoffs. You will work at the intersection of distributed systems, real-time communication, and AI agent orchestration, collaborating with ML engineers and AI researchers. This is a high-impact role requiring strong backend engineering skills and experience with production-grade infrastructure. The position is ideal for engineers who want to apply their expertise to real-world AI systems in complex enterprise ecosystems.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight Requires deep expertise in backend systems, real-time communication, and enterprise integrations, with a need to handle high-stakes production environments and complex AI orchestration.

Salary Analysis

AI Insight The offered salary is not specified, but for a senior backend engineer with AI integration expertise at a well-funded startup in the US, the market range is typically $120,000 to $180,000 annually, with a median around $150,000.

Core Skills Required

Backend Engineering AI Agents Real-Time Systems Distributed Systems Enterprise Integrations CCaaS Python Go Cloud Infrastructure API Design

Cover Letter Sample

Dear Hiring Manager,

I am excited to apply for the Senior Software Engineer, Backend (AI Agent Integrations) role at Cresta. With over 5 years of experience building scalable backend systems and a strong focus on real-time distributed systems, I am eager to contribute to your mission of enabling AI agents to operate seamlessly in contact center environments. My background includes designing robust integrations with enterprise platforms and managing high-volume production workloads, which aligns perfectly with the responsibilities outlined in this role.

I have a particular passion for building infrastructure that bridges AI capabilities with real-world applications, and I am thrilled by the opportunity to work on AI-to-human handoff mechanisms and context preservation at scale. My experience in cloud-native architectures, API design, and cross-team collaboration would allow me to hit the ground running and collaborate effectively with your ML and AI research teams.

I am drawn to Cresta's innovative culture and the impact your AI platform has on leading companies like United Airlines and Marriott. I am confident that my technical skills and drive for engineering excellence would make me a valuable addition to your team. Thank you for considering my application.

Sincerely,
[Your Name]

Sample Interview Questions

How would you design a system for seamless AI-to-human handoff that preserves full conversation context?

I would design a stateful handoff service that maintains a session context object, storing conversation history and workflow state in a distributed cache like Redis. Upon handoff, the service serializes the context and passes it to the human agent's desktop via a secure API. The system would also use event-driven architecture to ensure consistency and low latency.

Describe your experience integrating with third-party APIs in a real-time environment. What challenges did you encounter?

I have integrated with various SaaS platforms using REST and WebSocket APIs. A key challenge was handling rate limits and maintaining idempotency. I implemented exponential backoff and idempotency keys, and used message queues to decouple integration logic from real-time processing.

What strategies do you use to ensure high availability and low latency in distributed systems?

I rely on redundancy through load balancing and multi-region deployments, implement circuit breakers for fault tolerance, and use caching strategically. For low latency, I optimize database queries, use async processing with message queues, and profile code to identify bottlenecks.

Can you explain how you would handle conversation state management across multiple sessions and agents?

I would use a centralized state store with a unique session ID key, storing state as a versioned object. Consistency is maintained using optimistic concurrency control or distributed transactions if needed. The system would also support state snapshots for recovery and audit trails.

How do you approach security and compliance when building enterprise integrations?

I follow least-privilege access, encrypt data in transit and at rest, and implement robust authentication with OAuth2 or API keys. I ensure compliance by logging all access and operations, performing regular penetration testing, and adhering to industry standards like SOC2 and GDPR.

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google’s Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.

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 (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.

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

Qualifications We Value:

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.

Perks & 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. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

Apply now >