
Senior Software Engineer, Backend (AI Agent Integrations)
Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's 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:
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Integrate deeply with leading CCaaS platforms
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Participate in live customer conversations across voice and chat
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Maintain full conversation state and context
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Perform real-time actions within the CCaaS ecosystem
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Seamlessly hand off conversations to human agents — without losing context, history, or workflow state
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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:
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AI + Real-Time Systems: Work on infrastructure that enables AI Agents to participate in live conversations at scale.
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Enterprise-Grade Integrations: Design robust integrations with major CCaaS platforms and customer systems.
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Human-AI Collaboration: Build the systems that make AI-to-human handoff seamless, contextual, and reliable.
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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:
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Design and build scalable backend services that integrate Cresta’s AI Agents with customers’ CCaaS platforms.
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Architect systems that manage real-time conversation state, context propagation, and session lifecycle.
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Implement seamless AI-to-human handoff mechanisms, ensuring full context transfer and minimal disruption to the customer experience.
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Develop secure and reliable integrations with CCaaS APIs (voice, chat, messaging, routing, agent desktop, etc.).
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Collaborate closely with ML engineers and AI researchers to operationalize AI Agent capabilities in live environments.
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Ensure high availability, low latency, and strong observability for real-time conversation systems.
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Implement authentication, authorization, compliance, and enterprise security best practices across integrations.
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Drive improvements in reliability, performance, and scalability in production environments handling high interaction volumes
Qualifications We Value:
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Bachelor’s degree in Computer Science or related field.
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5+ years of experience building scalable backend systems in production environments.
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Strong experience designing and maintaining robust APIs (REST, gRPC).
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Solid understanding of distributed systems and real-time communication architectures.
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Experience integrating with third-party enterprise platforms and APIs.
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Experience working with CCaaS platforms or contact center systems is a strong plus.
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Familiarity with AI Agents, Virtual Agents, or LLM-based systems is a plus.
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Experience with containerized environments (Kubernetes, Docker).
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Experience with cloud platforms such as AWS, GCP, or Azure.
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Strong understanding of system reliability, observability, and security in enterprise environments.
Perks & Benefits:
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We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
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Paid parental leave to support you and your family
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Monthly Health & Wellness allowance
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Work from home office stipend to help you succeed in a remote environment
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Lunch reimbursement for in-office employees
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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
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Crestaについて

Cresta
Series CCresta develops AI-powered contact center solutions that provide real-time coaching and insights for customer service agents. The platform uses conversational AI to improve agent performance and customer experience outcomes.
201-500
従業員数
San Francisco
本社所在地
$1.6B
企業価値
レビュー
10件のレビュー
3.9
10件のレビュー
ワークライフバランス
3.2
報酬
3.8
企業文化
4.1
キャリア
3.4
経営陣
4.2
72%
知人への推奨率
良い点
Supportive and approachable management
Flexible working hours and remote work options
Great team culture and teamwork
改善点
Heavy workload and frequent overtime
High stress and expectations
Limited growth opportunities and career development
給与レンジ
0件のデータ
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0件のレポート
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年収総額
基本給
-
ストック
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