LearnWise is a company where the best idea always wins — no matter what — and where innovation and hyper-growth are in our DNA.

We offer Engineering internships designed to build future technical leaders - hopefully at LearnWise!

Internship · EU · Remote

Department: Engineering

Reports to: Head of AI

Work alongside: CTO, AI team, Engineering & Product

Job Description

LearnWise.ai is a scale-up modernizing educational institutions with virtual assistants, instructor efficiency, and student engagement solutions for higher education. We’re seeking an inspired and rigorous Engineering Intern for a 6-month internship focused on AI systems, reliability, and product behavior.

You’ll join a VC-funded team with a track record of exponential growth. You’ll work closely with leadership and be expected to propose, test, and ship your own ideas.

What you’ll do

AI Systems & Reliability

• Troubleshoot LLM behavior and agent actions across our Tutor Assistant, automatic feedback, and other AI features; identify root causes and ship fixes.
• Use LangSmith, LogFire and other tools to trace requests end-to-end, correlate prompts, tools, and outputs, and explain why a behavior occurred.
• Implement pragmatic guardrails, fallbacks, and caching; reduce failure modes and improve correctness under real usage.

Retrieval & Relevance

• Optimize our retrieval pipelines: choose and tune embeddings, refine vector-database indexing/search strategies, and evaluate re-rankers for higher precision/recall.
• Design and run experiments (e.g., recall@k, MRR, nDCG, groundedness checks) that translate directly into product wins.

LLM Ops & Tooling

• Contribute to LLM Ops: prompt/tool versioning, dataset curation, regression test suites, latency/cost monitoring, and safe rollout strategies (shadow, A/B).
• Build small utilities to surface failure taxonomies, detect drift, and turn traces into actionable fixes.
• Grow into feature development that measurably improves product quality and student outcomes.

Collaboration & Strategy

• Partner with the Head of AI, CTO, AI team, Engineering, and Product to shape technical direction.
• Share learnings clearly; propose changes that improve model performance, reliability, and UX.
  

Requirements

Core Requirements

• Strong proficiency in Python.
• Master’s (ongoing or completed) in AI/ML or a related field, or equivalent experience demonstrating comparable depth.
• Solid understanding of modern AI models and AI-powered applications (prompting, tool-use/agents, RAG, context management, evaluation).
• Hands-on experience with LLMs and/or tool-using agents: debugging prompts, tracing tool calls, analyzing failure modes.
• Ability to design evaluation loops (golden sets, regression tests, online experiments) that make reliability measurable and improvable.
• Ability to figure things out independently and chase issues until completion.

Nice to Have

• Experience optimizing RAG components: embeddings selection/tuning, vector DB configuration, re-ranker selection/evaluation.
• Familiarity with AI observability/monitoring practices and failure taxonomies.
• Fluent in English; direct, candid communication style; hungry to learn and ship.
  

What’s in it for you?

• Direct mentorship from senior leadership (CTO, Head of AI, Head of Product).
• Work with a global team on cutting-edge AI applications.
• Flexible working arrangements (results > hours).
• A “no 9-to-5 mentality” and genuine focus on work-life balance.

If you’re passionate about engineering with AI, eager to learn, and excited to work in a fast, practical startup environment, this is your chance to build AI that meaningfully improves student outcomes. We’d love to hear from you.