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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.