Excellencium
Agentic AI & LLM Engineering Intern
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Company Description
Excellencium is a UK-based AI transformation and operating intelligence company helping organisations redesign how they operate before they implement AI.
We believe successful AI transformation starts with the business not the technology. Our methodology combines business strategy, operating model redesign, finance transformation, enterprise architecture, governance, data, and artificial intelligence to help organisations create measurable business value rather than isolated AI pilots.
Founded by finance and transformation leaders with over 25 years of international experience, Excellencium works with multinational organisations, private equity and venture capital firms, portfolio companies, high-growth businesses, and public sector organisations to improve decision-making, operational performance, and enterprise value.
Our expertise spans:
- Agentic AI and enterprise AI solutions
- Small Language Models (SLMs) and Large Language Models (LLMs)
- AI architecture and operating intelligence
- Finance transformation and CFO advisory
- ERP and enterprise systems transformation
- Business process redesign
- Performance improvement and value creation
- Strategic advisory for growth, investment, and digital transformation
Our vision is to build the next generation of AI-powered operating models where specialised AI agents, enterprise knowledge, governance, and human expertise work together to continuously improve business performance.
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Role Description
The Agentic AI & Enterprise Intelligence Intern will support the research, design, development and validation of next-generation enterprise AI solutions at Excellencium. This is a remote role, commitment will be agreed based on project by project basis. Role is based in the London Area, United Kingdom.
Working alongside experienced AI, finance and transformation professionals, you will get the opportunity to contribute to the development of Agentic AI systems, Large Language Models (LLMs), Small Language Models (SLMs), Retrieval Augmented Generation (RAG), enterprise knowledge platforms and AI driven operating models. You will help transform complex business challenges into intelligent, scalable AI solutions that create measurable business value.
Your responsibilities will include:
- Researching emerging AI technologies
- Developing and testing AI agents
- Experimenting with LLM and SLM frameworks
- Designing agent workflows
- Preparing and integrating enterprise data
- Evaluating model performance
- Improving prompts and reasoning capabilities
- Documenting solution architectures
You will also contribute to / research and learn about reusable AI components, proof of concepts, product development, and internal research that strengthen Excellencium's AI transformation capabilities and Operating Intelligence platform.
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Qualifications
We're looking for curious, innovative and self driven individuals who are passionate about building the future of enterprise AI.
Essential Skills
- Strong programming skills in Python, Git, APIs and software development.
- Understanding of LLMs, SLMs, prompt engineering, RAG and AI agent architectures.
- Knowledge of machine learning, NLP fundamentals and model evaluation techniques.
- Strong analytical and problem-solving skills with the ability to translate business challenges into AI solutions.
- Excellent written and verbal communication skills and the ability to work collaboratively in multidisciplinary teams.
Desirable Experience
- Experience with OpenAI, Anthropic, LangChain, LangGraph, CrewAI, AutoGen or similar AI frameworks.
- Familiarity with vector databases, knowledge graphs and semantic search technologies.
- Exposure to cloud platforms such as Azure, AWS or Google Cloud.
- Interest in enterprise AI, finance transformation, ERP systems or business process automation.
- Personal AI projects, GitHub contributions, hackathons or research publications are highly valued.
Candidates should be studying or have recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Engineering or a related discipline. Willing to commit for internship to gain experience.
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