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.
4Square Innovations builds production AI systems — not prototypes. Our products run multi-tenant infrastructure serving enterprise clients across Europe and the Middle East.
We operate at the intersection of cutting-edge AI research and hard commercial reality. That means wrestling with real problems: hallucination reduction at scale, GDPR-compliant data pipelines, multi-LLM orchestration across GPU and cloud inference, and knowledge management systems that degrade gracefully as information ages.
Most AI internships give you tutorial notebooks. Here you'll be committing to the same codebase that answers questions for paying enterprise clients. That's a different kind of learning.
Every track works with one or more of our live products — not dummy datasets or toy projects.
Multi-tenant AI-powered document Q&A and KPI analytics platform. Organisations upload documents and ask natural-language questions answered via a sophisticated RAG pipeline.
Queries 13+ LLMs in parallel and applies graph-based consensus to identify the answer a plurality of independent models converge on. Claims <2% hallucination rate vs 10–15% for single models.
No-code prompt management with A/B testing and performance analytics, integrated directly with AskDiana. Lets non-technical users optimise LLM behaviour without touching code.
REST API for automated data compliance. Redacts PII before documents reach any LLM. Supports GDPR, HIPAA, and CCPA with configurable custom rules and full audit logging.
Data lake intelligence that identifies whether content is current regardless of file age, and automatically deprecates outdated information before it can mislead an LLM.
Choose the track that matches your strengths. Tracks are not silos — interns pair across disciplines on shared deliverables.
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. Production AI research — changes you make will run against real queries.
Build 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.
Design 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.
Manage 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. Learn what it takes to keep AI systems running reliably at scale.
Work directly with the CTO on product direction, client integration playbooks, and market positioning. Research competitive intelligence, draft technical documentation, and support enterprise sales conversations.
Interns contribute to the product backlog alongside the core team. Here are real items from the roadmap:
Deep-dive into the product stack. Set up your development environment, run the products locally, read the architecture documentation, and pair with a senior team member on your first issue.
Contribute to the product backlog. Weekly 1:1 mentoring sessions with Tony. Participate in architecture reviews and team standups. You ship real features — not demos.
Present your body of work to the team. Document your contributions for the product roadmap. Discuss paths to a longer-term role if there is mutual interest.
Tony Larcombe mentors interns directly. He's built and led technology organisations for 30 years.
30 years of transformational technology leadership across Europe, North America, and Asia Pacific. Transitioned from mainstream business in 2009 to fractional C-level advisory, accumulating 16+ years guiding technology strategy for startups and enterprise clients. Educator, author, and Non-Executive Director.
Rolling intake — positions fill on a first-suitable basis. Apply early.
Start Your ApplicationOr email directly: tony.larcombe@4sqcapital.com