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- Tasks: Lead the development of AI agents for music curation and audio services.
- Company: Join a pioneering AI Studio transforming global audio experiences.
- Benefits: Enjoy a creative culture, access to extensive music libraries, and collaboration with industry experts.
- Why this job: Shape the future of AI in music while working on innovative projects that enhance human creativity.
- Qualifications: Degree in Computer Science or related field; 1+ years in AI agent development required.
- Other info: Opportunity to mentor junior engineers and lead generative AI experimentation.
The predicted salary is between 48000 - 84000 £ per year.
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 are 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
- Design and build AI agents using Python and frameworks like OpenAI Agents SDK, LangChain, AutoGen, and Google ADK.
- Create multi-agent orchestration systems for complex workflows (e.g., music curation, content analysis, scheduling).
- Integrate multimodal AI models, including voice synthesis and music understanding.
- Audio Technology Integration
- Work with libraries such as LibROSA and PyDub to enable audio analysis and processing.
- Develop tools for BPM detection, genre classification, energy and mood mapping.
- Create systems for automated content compliance and rights management.
- Platform Engineering
- Build scalable AI platforms that interface with our music management systems.
- Develop APIs and edge AI capabilities for real-time audio delivery in retail environments.
- Establish performance metrics to evaluate AI agent outcomes and business impact.
- Innovation Leadership
- Lead generative AI experimentation in music and voice.
- Evaluate emerging AI trends for commercial audio application.
- Mentor junior engineers and share best practices in AI agent development.
- Cross-Functional Collaboration
- Translate business needs into intelligent, scalable AI solutions.
- Work closely with music curators and product teams to align technology with creativity.
- Present AI initiatives and outcomes to internal and external stakeholders.
Essential
- Degree in Computer Science, Engineering, or related field (or equivalent experience).
- 1+ years of hands-on AI agent development (multi-agent systems a plus).
- Strong Python programming skills and experience with modern AI/ML frameworks.
- Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools.
- Solid understanding of audio processing and music tech.
- Proven ability to build and integrate APIs and scalable systems.
- Experience identifying AI use cases and translating them into business value.
Preferred
- Experience with LibROSA, Essentia, or other audio analysis libraries.
- Knowledge of computational musicology and MIR.
- Familiarity with semantic search, vector databases, and explainable AI.
- Understanding of music licensing and rights management.
- Background in retail tech or B2B SaaS is a plus.
What We Offer
- A unique opportunity to shape the future of AI in music and audio tech.
- Work alongside industry-leading music curators and audio professionals.
- Access to extensive music libraries and real-world deployment environments.
- A creative, collaborative culture that values innovation and integrity.
Ready to lead the AI audio revolution? Interested? Please Click Apply Now.
Lead AI Engineer – Intelligent Agents (Audio Focus) employer: Adria Solutions Ltd
Contact Detail:
Adria Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer – Intelligent Agents (Audio Focus)
✨Tip Number 1
Familiarise yourself with the latest AI frameworks and tools mentioned in the job description, such as OpenAI Agents SDK and LangChain. Being able to discuss your hands-on experience with these technologies during interviews will demonstrate your readiness for the role.
✨Tip Number 2
Showcase any projects or experiences where you've integrated audio processing libraries like LibROSA or PyDub. This will highlight your practical knowledge in audio technology, which is crucial for this position.
✨Tip Number 3
Prepare to discuss how you've previously translated business needs into AI solutions. Think of specific examples where your work has directly impacted business outcomes, as this aligns with the role's focus on delivering value through AI.
✨Tip Number 4
Network with professionals in the audio tech and AI fields. Engaging with industry experts can provide insights into current trends and challenges, making you a more informed candidate when discussing your vision for AI in music.
We think you need these skills to ace Lead AI Engineer – Intelligent Agents (Audio Focus)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI agent development, particularly with Python and relevant frameworks. Emphasise any projects that involved audio technology or multi-agent systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and audio technology. Discuss how your skills align with the job requirements and mention specific experiences that demonstrate your ability to lead innovative projects.
Showcase Relevant Projects: If you have worked on projects involving audio analysis or AI orchestration, include them in your application. Provide links to your work or a portfolio that showcases your contributions to similar fields.
Highlight Collaboration Skills: Since the role involves cross-functional collaboration, mention any experiences where you successfully worked with diverse teams. This could include working with music curators or product teams to develop AI solutions.
How to prepare for a job interview at Adria Solutions Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and AI frameworks like OpenAI Agents SDK and LangChain. Bring examples of past projects where you've developed AI agents or worked with audio processing libraries such as LibROSA.
✨Demonstrate Your Understanding of Audio Technology
Familiarise yourself with concepts like BPM detection, genre classification, and mood mapping. Be ready to explain how these elements can enhance AI-driven audio experiences and how you would implement them in the role.
✨Highlight Your Leadership Experience
Since this is a lead position, share instances where you've mentored junior engineers or led projects. Discuss how you foster collaboration between technical teams and creative professionals to achieve innovative solutions.
✨Prepare for Cross-Functional Collaboration Questions
Expect questions about how you would translate business needs into scalable AI solutions. Think of examples where you've successfully worked with non-technical stakeholders, such as music curators or product teams, to align technology with creativity.
