Job Description

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 CTO & 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:

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. This role will involve hands-on work on cutting-edge projects, requiring innovative and passionate software engineers who can bring research into practical, scalable applications.

As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance. While we’re focused on server optimization and data management rather than pure research, you’ll be working with some of the most advanced technologies in the cloud and server space.

This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments.

Responsibilities :

• Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models.


• Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions.


• Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.


• Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.


• Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.

Qualifications We Value:

• Bachelor’s degree in Computer Science or a related field.


• 5+ years of experience in backend system architecture, cloud services, or related technology fields.


• Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.


• Previous experience working with Virtual Agent or AI Agent systems.


• Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.


• Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.


• Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.

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.

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