Senior Backend Developer – AI

What you will be doing:

• Design and develop high-quality backend solutions that are scalable, maintainable, and aligned with company standards. 
• Build and evolve AI-driven backend services and components used across Contact Center and UC products. 
• Implement backend capabilities that support AI Agents, Agent and Supervisor Assist, Intelligent Routing, Customer Insights, and related AI-powered features. 
• Contribute to technical design discussions and help shape subsystem architecture and service design decisions. 
• Collaborate closely with Product, Data Science, frontend, and backend teams to define requirements, shape technical solutions, and deliver robust product capabilities. 
• Analyze and improve system performance, scalability, reliability, and operational efficiency. 
• Implement high-quality, maintainable code that follows Intermedia’s engineering standards and best practices. 
• Write unit and integration tests and contribute to end-to-end quality across services and features. 
• Troubleshoot, debug, and resolve production issues in collaboration with cross-functional teams. 
• Review code, mentor other engineers, and help raise the overall engineering quality of the team. 
• Document software designs, implementation approaches, API contracts, and operational considerations. 
• Stay current with emerging AI and software engineering technologies and apply them where appropriate. 

What you will bring to the role:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 
• 5+ years of experience in backend software development, with strong experience building modern APIs and distributed services. 
• Strong experience with backend programming languages such as Java, C#, C/C++, or similar. 
• Strong understanding of backend architecture, service design, API design, integration patterns, and performance optimization. 
• Solid experience with SQL and/or NoSQL databases, including schema design and data access patterns. 
• Understanding of AI-enabled systems and how backend services integrate with ML and AI components. Hands-on ML experience is a plus, but not required. 
• Experience building complex product capabilities, not only simple CRUD-based services. 
• Strong problem-solving skills, sound engineering judgment, and comfort operating in production environments. 
• Ability to work from broad requirements and contribute to technical specifications for smaller subsystems. 
• Ability to work effectively in cross-functional teams and contribute to technical design and product discussions. 
• Strong written and verbal communication skills. 
• Experience working in an Agile development environment such as Scrum or Kanban. 

• Experience working on AI-powered products, intelligent assistants, routing systems, or insight-generation platforms. 
• Familiarity with distributed systems, event-driven architectures, or real-time backend patterns. 
• Experience with cloud environments such as Azure or AWS in globally distributed products. 
• Familiarity with DevOps concepts, CI/CD pipelines, observability, and backend operational practices. 
• Experience leading backend initiatives from concept to delivery. 
• Experience mentoring engineers and contributing to engineering standards and best practices. 

Diversity, Inclusion, and Equal Opportunity