Senior Software Engineer Backend - AI

About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! Are you ready to make your mark? About the Role Intermedia is looking for a Senior Software Engineer Backend - AI. In this role, you will design and build the backend services, APIs, and data capabilities that power intuitive analytics, visualizations, and AI-driven insights across Intermedia's products. You will help transform complex product, customer, and AI-generated data into reliable, performant, and easily consumable information that enables users to understand trends, identify opportunities, and make better decisions. You will work closely with frontend engineers, AI/ML engineers, data engineers, product managers, and UX teams to bring sophisticated analytics and AI-powered insights into compelling customer experiences. This is a great opportunity for an experienced backend engineer who enjoys solving complex data and distributed systems challenges and wants to help redefine how customers interact with analytics through AI. What You Will Be Doing • Design, develop, test, and maintain scalable backend services and APIs that power analytics, dashboards, visualizations, and AI-generated insights. • Build services that process, aggregate, enrich, and serve structured and unstructured data for interactive analytics experiences. • Develop APIs and data services optimized for efficient consumption by dashboards, visualizations, reporting interfaces, and other customer-facing experiences. • Build backend capabilities that enable users to explore, filter, compare, drill into, and understand complex datasets and insights. • Develop services that support AI-generated summaries, recommendations, trends, anomalies, and other intelligent analytics experiences. • Collaborate with AI/ML engineers to integrate models and AI-generated outputs into customer-facing analytics and visualization experiences. • Partner closely with frontend engineers and UX teams to define service interfaces and data structures that enable intuitive, responsive visualization experiences. • Work with data engineers to establish reliable data flows between source systems, analytical platforms, AI capabilities, visualization services, and downstream applications.• Collaborate with product managers and engineering teams to translate customer and business needs into scalable technical solutions. • Contribute to technical design decisions for backend services, analytics APIs, data models, processing workflows, caching strategies, and integrations. • Design systems that deliver timely and accurate analytics while maintaining appropriate data quality and consistency. • Optimize data access, aggregation, and service performance to support responsive and interactive customer experiences. • Design backend capabilities that can support both predefined analytics experiences and more dynamic, AI-driven exploration of data. • Analyze and improve the performance, scalability, reliability, and maintainability of analytics services. • Write high-quality, readable, testable code that follows established engineering standards and best practices. • Participate in code and design reviews and contribute to strong engineering and quality practices across the team. • Troubleshoot and resolve complex issues across backend services, analytics workflows, data processing, and frontend integrations. • Build appropriate monitoring, logging, testing, and observability into production services. • Collaborate with DevOps and platform teams to support reliable deployment and operation of Analytics Visualizations services. • Stay current with emerging technologies and engineering approaches related to AI, analytics, data visualization, data processing, and backend development. • Participate in continuous improvement initiatives that enhance product performance, reliability, customer experience, and engineering efficiency. What You Will Bring to the Role • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 5+ years of professional software engineering experience , with demonstrated experience developing backend applications and services. • Strong proficiency in one or more backend programming languages and associated frameworks. • Experience designing and developing RESTful APIs, microservices, or other service- oriented applications. • Solid understanding of software design principles, data structures, algorithms, and distributed systems concepts. • Experience working with relational and/or NoSQL databases. • Experience designing applications that process, transform, aggregate, or serve significant volumes of data. • Experience developing backend services or APIs that support data-rich, interactive applications. • Experience building and supporting scalable, reliable production applications. • Understanding of data modeling, aggregation, filtering, querying, and other patterns commonly used in analytics applications.• Working knowledge of cloud platforms such as AWS or Azure and cloud-based application architectures. • Familiarity with automated testing, CI/CD, source control, and modern software development practices. • Strong understanding of application performance and the ability to optimize services and data access for responsive user experiences. • Strong problem-solving skills and the ability to independently investigate and resolve complex technical issues. • Strong communication and collaboration skills with the ability to work effectively across backend, frontend, AI/ML, data, UX, and product teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.