Senior Software Engineer Backend - AI

Stack

Responsibilities

• ▹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

Requirements

• ▹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

Soft skills

About the company

Intermedia is a leading provider of cloud communications and collaboration technology.