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      Urgent! AI Engineering Intern (LLM Ops & RAG) Position in Vigo - LearnWise AI
 
                        
                         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.,  , 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.
                      
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Unlock Your AI Engineering Potential: Insight & Career Growth Guide
Real-time AI Engineering Jobs Trends in Vigo, Spain (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI Engineering in Vigo, Spain using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 14963 jobs in Spain and 112 jobs in Vigo. This comprehensive analysis highlights market share and opportunities for professionals in AI Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! LearnWise AI is currently hiring and seeking a AI Engineering Intern (LLM Ops & RAG) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at LearnWise AI adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AI Engineering Intern (LLM Ops & RAG) Jobs Spain varies, but the pay scale is rated "Standard" in Vigo. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI Engineering Intern (LLM Ops & RAG) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your AI Engineering Intern (LLM Ops & RAG) interview at LearnWise AI, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the LearnWise AI's products or services and be prepared to discuss how you can contribute to their success.
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