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Senior Backend Engineer - AI Product Lead

Onsite or remote • Toronto+3💼 Full-time🗓 2026-06-25

Core

Lead backend architecture and AI API integration for a self-serve audio ad creation platform, optimizing scalability, performance, and cost-efficiency.

Role type

Senior Backend Engineer - AI Product Lead

Builds

Scalable backend infrastructure and optimized AI API integrations for audio ad creation tools

Domain

Adtech / AI Infrastructure

Deliverable

production ML models | infrastructure

Required skills

Python, Node.js, Java, AI/ML API integration, caching, batching, cloud platforms (AWS, Azure, Google Cloud), database systems, serverless architectures, microservices, monitoring tools

Preferred skills

AI/ML model training and deployment, pricing models of AI providers, adtech industry experience, SaaS platform development

Technologies

OpenAI, Gemini, AWS, Azure, Google Cloud

Responsibilities

Lead integration and management of third-party AI APIs; Design systems to optimize API calls and reduce latency; Develop cost-saving strategies via caching and batching; Build and maintain scalable backend infrastructure; Establish monitoring systems for API usage and performance; Provide technical leadership to junior engineers

Seniority

Senior, hands-on IC with leadership responsibilities

Rewrite
## About the company At VoxTonePRO, we are revolutionizing the audio ad industry with cutting-edge AI technology. Our platform empowers businesses with self-serve audio ad creation tools, integrating AI models such as OpenAI and Gemini. We are seeking a highly skilled and strategic Senior Backend Engineer to lead the development and optimization of our backend AI infrastructure. ## Role Overview As the Senior Backend Engineer - AI Product Lead, you will oversee the backend architecture of VoxTonePRO, focusing on the integration and optimization of AI APIs to ensure scalability, performance, and cost-efficiency. This role requires expertise in backend development, AI tools, and budget-conscious decision-making to maximize the value of our AI integrations. ## Key Responsibilities - AI API Integration: - Lead the integration and management of OpenAI, Gemini, and other third-party AI APIs. - Design systems to optimize API calls, reduce latency, and maintain high performance. - Cost Optimization: - Develop strategies to minimize costs associated with frequent API calls by implementing caching, batching, and other cost-saving techniques. - Monitor usage patterns and recommend adjustments to stay within budget. - Backend System Design: - Build and maintain scalable and secure backend infrastructure for AI-powered features. - Ensure robust data pipelines to support real-time AI interactions. - Performance Monitoring and Debugging: - Establish monitoring systems to track API usage, system performance, and user interactions. - Debug and resolve backend issues promptly. - Collaboration and Leadership: - Work closely with the product and AI teams to define requirements and deliver solutions. - Provide technical leadership to junior engineers and collaborate with cross-functional teams. - Security and Compliance: - Ensure all AI integrations comply with data privacy and security regulations. - Implement best practices for handling sensitive user and business data. ## Qualifications - Technical Expertise: - Strong experience with backend development using languages such as Python, Node.js, or Java. - Deep understanding of AI/ML APIs and their integration. Familiarity with caching, batching, and optimization techniques to reduce API usage costs. - AI API Experience: - Hands-on experience with APIs such as OpenAI, Gemini, or similar. Proven ability to design cost-efficient solutions while maintaining performance. - Infrastructure Skills: - Proficiency in cloud platforms (AWS, Azure, Google Cloud) and database systems. - Experience with serverless architectures and microservices is a plus. - Analytical Thinking: - Ability to analyze API usage patterns and devise strategies to optimize costs. Experience in monitoring tools and frameworks to track system performance and budget utilization. ## Preferred Qualifications - Knowledge of AI/ML model training and deployment. - Familiarity with pricing models of OpenAI, Gemini, or similar AI providers. - Experience working in the adtech industry or building SaaS platforms. ## Why Join Vox
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