A hands‑on internship at the frontier of enterprise AI — working directly on production systems used by real clients, mentored personally by a CTO with 30 years of transformational technology leadership.
These are unpaid positions — you receive a certificate and reference letter.
Choose the track that matches your strengths. Tracks are not silos — interns pair across disciplines on shared deliverables.
All positions are unpaid. Successful interns receive a certificate of completion and a personal reference letter from the CTO.
Work directly on Genius² and AskDiana's RAG pipeline. Improve the consensus algorithm, evaluate embedding models, benchmark retrieval strategies, and experiment with LLM selection logic.
OPENBuild features across the AskDiana stack: Flask API endpoints, Next.js UI components, and the multi-tenant middleware layer. Real PRs against a real codebase with code review, migrations, and deployment pipelines.
OPENDesign and run evaluations of RAG pipeline accuracy, benchmark consensus quality in Genius², and build predictive analytics features inside AskDiana's KPI module. You'll own the metrics that tell us whether our AI is actually working.
OPENManage the infrastructure that keeps production AI running. Docker Compose deployments, Apache reverse proxies, Let's Encrypt, GPU-backed Ollama endpoints on RunPod, and observability via Langfuse.
1 PLACEWork directly with the CTO on product direction, client integration playbooks, and market positioning. Research competitive intelligence, draft technical documentation, and support enterprise sales conversations.
1 PLACEInterns contribute to the product backlog alongside the core team.
Real items from the roadmap:
Deep-dive into the product stack. Set up your environment, run the products locally, read the architecture docs, and pair with a senior team member on your first issue.
Contribute to the product backlog. Weekly 1:1 mentoring with Tony. Participate in architecture reviews and standups. You ship real features — not demos.
Present your body of work to the team. Document your contributions for the roadmap. Discuss paths to a longer-term role if there is mutual interest.
The interns currently working across our AI products and research. Rolling intake means new interns join throughout the year.
We review applications on a rolling basis. Early applications are strongly preferred.
Past cohort info: view programme graduates