Help us build the brain of the AI music revolution.
Were a music startup founded by Grammy-winning creators and AI veterans. Our mission is to eliminate sound engineering as a barrier to music creation. Were not just building tools - were building an AI companion that listens, understands, and collaborates with musicians in real time.Our alpha is already in the hands of creators. Our team includes industry legends. We have access to some of the most valuable mixing data on the planet. And weve just closed our pre-seed!
Now we need someone whos crazy enough to lead the LLM side.
This Role:
AI Lead (LLM & Speech)
You wont just own the AI roadmap. Youll build the brain.Y
oull design and ship a multi-agent system that:
Listens to spoken intent
Understands DAW context
Executes music production workflows in real time
Guides users through pro-quality results, no matter their skill level
This is not about academic research or model papers.
Were talking Full-Stack: fine-tuned LLMs, speech pipelines, memory layers, retrieval and multi-modal interfaces - all stitched into a usable, magical companion for millions of creators.
What Youll Do
Architect and lead everything AI - LLMs, speech-to-text, context-aware workflows, and multi-agent systems
Own the model lifecycle: data, training, fine-tuning, deployment, iterationBalance breakthrough UX with aggressive latency and cost targetsBuild or guide a small, elite team of AI engineers as we growCollaborate tightly with product, design, and Flutter app team to create fluid, responsive experiences
Why Join Us
Youll build something no one has built beforeYoull work with a team that has scaled tech to billions of users and made hits in the studio
Youll own your domain, end to end - no bureaucracy, no middle layers
Youll help define the category and write the playbook
And if we get this right, we wont just change music - well redefine human/computer collaboration
Ready to build something no ones dared to build before?Lets talk.
Requirements: What Were Looking For
5+ years building real-world AI systems (not just research)
Deep experience with LLMs, speech recognition, NLP, and multi-agent systems
Hands-on leader who can code, ship, and scale
Knows whats possible today - and whats coming nextBonus: audio, DAWs, or music creator workflows
Bonus: you've wrestled with performance bottlenecks in Real-Time systems.
This position is open to all candidates.
