This is a 3-month unpaid 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.

About Wubble

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!

Key Responsibilities

• System-Prompt R&D: Design and run experiments that improve helpfulness, safety, persona consistency, and latency.

• Evaluation Pipelines: Build reproducible, data-driven test rigs (unit + simulation) that score prompts across quantitative and qualitative metrics..

• Custom Tooling: Craft utilities (CLI / micro-services) that streamline evaluation workflows and data collection.

• API Development Harden­ing: Design, version, document, and test RESTful endpoints in FastAPI; enforce schema via OpenAPI/Swagger and auth via JWT/OAuth.

• Cloud CI/CD: Package components into Docker images, write CI/CD jobs, and manage deployments in GKE / Cloud Run; add monitoring alerting.

• Observability: Instrument code and build dashboards/alerts with Prometheus, Grafana, or Cloud Monitoring.

• Documentation: Maintain clear, detailed docs for every pipeline, API, and experiment so others can reproduce and build on your work.

• Collaboration: Pair with research and product to analyse logs, present findings, and recommend next experiments.

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 building LLM-powered agentic chatbots and experimentation with multiple model families (GPT-4o, Claude, Gemini, Mistral, 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, automated contract tests.

• Comfortable with Docker (multi-stage builds, image optimisation) and basic Kubernetes/GKE or Cloud Run workflows.

• Familiar with cloud services on Google Cloud (Pub/Sub, Cloud Storage, IAM) or willing to learn fast.

• Strong analytical mindset—designing experiments, reading metrics, and communicating insights clearly.

• Nice-to-Have: Exposure to fine-tuning or RLHF pipelines, LangChain/LlamaIndex, or 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 with a large-scale generative model 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 that accommodates your academic schedule.

How We Hire?

1. Technical Coding Assessment.

2. Call to discuss your projects and assessment with Head of AI.

3. Call with CPO

4. Offer & start-date alignment.

To apply, please send your resume, a brief cover letter, and any relevant project links or portfolio, either by using the "Apply now" button below or by emailing support@wubble.ai (CC: sufi@wubble.ai, muhammad.abdullah@wubble.ai) with the subject line:
"AI Intern – Agentic AI and API – [Your Full Name]"