Remote Lead AI Engineer - Intelligent Agents Audio Focus
Role details
Job location
Tech stack
Job description
Lead AI Engineer - Intelligent Agents (Audio Focus) Are you ready to shape the next frontier of AI-powered audio experiences? Our client is launching an AI Studio to transform how we deliver curated music and intelligent audio services to businesses across the globe. We're looking for a forward-thinking Lead AI Engineer to lead the development of intelligent agents that supercharge our music curation, content ingestion, and customer service capabilities. This is your chance to combine cutting-edge AI innovation with the creativity of commercial audio - creating tools that augment human expertise, not replace it. What You'll Do AI Agent Development
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Design and build AI agents using Python and frameworks like OpenAI Agents SDK, LangChain, AutoGen, and Google ADK
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Create multi-agent orchestration systems for complex workflows (e.g., music curation, content analysis, scheduling)
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Integrate multimodal AI models, including voice synthesis and music understanding Audio Technology Integration
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Work with libraries such as LibROSA and PyDub to enable audio analysis and processing
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Develop tools for BPM detection, genre classification, energy and mood mapping
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Create systems for automated content compliance and rights management Platform Engineering
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Build scalable AI platforms that interface with our music management systems
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Develop APIs and edge AI capabilities for real-time audio delivery in retail environments
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Establish performance metrics to evaluate AI agent outcomes and business impact Innovation Leadership
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Lead generative AI experimentation in music and voice
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Evaluate emerging AI trends for commercial audio application
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Mentor junior engineers and share best practices in AI agent development Cross-Functional Collaboration
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Translate business needs into intelligent, scalable AI solutions
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Work closely with music curators and product teams to align technology with creativity
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Present AI initiatives and outcomes to internal and external stakeholders Essential
Requirements
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Degree in Computer Science, Engineering, or related field (or equivalent experience)
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1+ years of hands-on AI agent development (multi-agent systems a plus)
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Strong Python programming skills and experience with modern AI/ML frameworks
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Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools
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Solid understanding of audio processing and music tech
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Proven ability to build and integrate APIs and scalable systems
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Experience identifying AI use cases and translating them into business value Preferred
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Experience with LibROSA, Essentia, or other audio analysis libraries
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Knowledge of computational musicology and MIR
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Familiarity with semantic search, vector databases, and explainable AI
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Understanding of music licensing and rights management
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Background in retail tech or B2B SaaS is a plus