Wubble.ai is redefining the future of music generation with our cutting-edge AI solutions. We have developed a groundbreaking foundation model for generative music — one that is transforming the way enterprises worldwide create and integrate original soundscapes. Our clientele includes global leaders such as Disney, Starbucks, Microsoft, and HP, and we are backed by renowned supporters like Antler, Google, NVIDIA, and more. We are also one of the top 5 startups in Asia!
About the Role
This is a 2-month internship designed to provide you with hands-on experience and professional growth. Upon successful performance evaluation, there is potential to transition into a paid position with Wubble.ai with competitive compensation packages.
Key Responsibilities
Agent Architecture & Development – Design, build, and iterate on core agentic loops, including planning, memory management, and tool integration for our generative music platform.
System-Prompt Engineering – Design and run experiments that improve helpfulness, safety, persona consistency, and latency of our AI agents.
Custom Tooling – Craft utilities (CLI / micro-services) that streamline development workflows and enable new agent capabilities.
API Development & Hardening – Design, version, document, and test the RESTful APIs that power our agents, using FastAPI and enforcing schema via OpenAPI.
Agent Validation & Testing – Build reproducible, data-driven test rigs (unit + simulation) to ensure agent reliability and correctness.
Cloud & CI/CD – Package components into Docker images, write CI/CD jobs, and manage deployments in GKE / Cloud Run.
Documentation – Maintain clear, detailed docs for every agent, API, and experiment so others can reproduce and build on your work.
Collaboration – Pair with research and product teams to translate high-level goals into functional, shipped agentic features.
What Makes You a Great Fit
Currently pursuing a B.S. or M.S. in CS, AI, Data Science, or related field.
≥ 1 year hands-on experience building LLM-powered agentic systems and experimenting with multiple model families (GPT-4o, Claude 3, Gemini, Llama 3, etc.).
Proficient in Python (type hints, pytest) and FastAPI (or Flask) for production REST services.
Solid grasp of API design principles: versioning, idempotency, pagination, request/response schemas.
Comfortable with Docker (multi-stage builds, image optimisation) and basic Kubernetes/GKE or Cloud Run workflows.
Builder's Mindset: A strong problem-solving and product-oriented approach — driven to build and ship solutions that work.
Bonus Points
Exposure to fine-tuning pipelines.
Direct experience with agentic frameworks like LangChain/LlamaIndex.
Building front-end dashboards (React/Tailwind) for internal tooling.
Why Join Wubble?
High-Impact Projects: Work on innovative AI solutions used by leading global brands.
Top-Tier Backing: Collaborate within a well-funded ecosystem supported by industry giants like Antler, Google, and NVIDIA.
Cutting-Edge Technology: Gain hands-on experience building a large-scale generative agent in a real-world production environment.
Professional Growth: Develop your AI engineering skill set under the mentorship of experts, with the potential for a future full-time role.
Remote Flexibility: Enjoy the convenience of a remote internship.