Software Engineer, Backend (AI Agent) at Cresta

Cresta is seeking a Software Engineer to join its AI Agent team. In this role, the individual will be responsible for creating state-of-the-art AI Agents that solve practical problems for Cresta's customers. They will leverage the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions are cost-effective, secure, and reliable. The role involves hands-on work on cutting-edge projects, requiring innovative and passionate software engineers who can bring research into practical, scalable applications.

As a Software Engineer, their goal will be to ensure that Cresta's AI Agents are backed by 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.

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:

• Bachelor’s degree in Computer Science or a related field.
• 2+ years of experience in backend system architecture, cloud services, or related technology fields.
• Knowledge in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
• 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:

• Variety of medical, dental, and vision plans
• Paid parental leave
• Monthly Health & Wellness allowance
• Work from home office stipend
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada