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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 real-world projects.
- Why this job: Shape the future of AI in music while collaborating with industry experts.
- Qualifications: Degree in Computer Science or related field; 1+ years in AI agent development required.
- Other info: Opportunity to mentor junior engineers and lead innovative AI projects.
The predicted salary is between 36000 - 60000 £ per year.
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
- 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?
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AI Engineer – Intelligent Agents (Audio Focus) employer: Adria Solutions
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 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. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during the interview process.
✨Tip Number 2
Engage with the audio tech community by attending relevant meetups or webinars. Networking with professionals in the field can provide insights into current trends and may even lead to referrals for the position.
✨Tip Number 3
Prepare to discuss your previous projects that involved AI agent development or audio processing. Be ready to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Showcase your passion for music and audio technology during interviews. Discussing your personal interests or projects related to music curation or audio analysis can help you connect with the team and demonstrate your enthusiasm for the role.
We think you need these skills to ace AI Engineer – Intelligent Agents (Audio Focus)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI agent development, Python programming, and audio technology. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and audio technology. Mention specific projects or experiences that align with the responsibilities of the role, such as developing multi-agent systems or working with audio analysis libraries.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, particularly in Python, AI/ML frameworks, and audio processing tools like LibROSA. Provide examples of how you've applied these skills in previous roles.
Highlight Collaboration Experience: Since the role involves cross-functional collaboration, emphasise any past experiences where you worked closely with teams, such as music curators or product teams, to deliver successful projects.
How to prepare for a job interview at Adria Solutions
✨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 music curation and customer service capabilities.
✨Highlight Your Innovation Mindset
Discuss any generative AI experimentation you've led or participated in, especially in the context of music and voice. Show that you are up-to-date with emerging AI trends and how they can be applied commercially.
✨Prepare for Cross-Functional Collaboration Questions
Think about how you've translated business needs into AI solutions in the past. Be ready to share examples of working closely with teams, such as music curators or product teams, to align technology with creativity.
