Location: London
Duration: 3 Months (Full‑time Internship)
Start Date: Feb 2026 Eligibility: Recent graduates in CS/IT/AI‑related fields   About the Role We are looking for a passionate AI Engineering Intern to join our team and contribute to building next‑generation AI agents and multi‑agent workflows. This internship is ideal for individuals eager to gain hands‑on experience in Python engineering, LLM integration, and agentic AI while working alongside experienced architects and product teams.   Key Responsibilities AI & Agent Development Design and implement AI agents and multi-agent workflows using Python. Develop tool‑calling, reasoning, memory, and orchestration logic for agentic systems. Build prompt strategies and agent behaviors aligned with real business use cases. Integrate LLMs with enterprise tools, APIs, and data sources. Engineering & Platform Work Develop backend services and components supporting AI agents. Work with structured and unstructured data sources (documents, APIs, databases). Implement evaluation, testing, and performance tuning for agent workflows. Contribute to reusable frameworks, accelerators, and internal AI libraries. Collaboration & Delivery Collaborate with solution architects, product owners, and domain SMEs. Translate business problems into AI‑enabled workflows and intelligent agents. Document designs, implementation approaches, and usage guidelines. Participate in sprint planning, reviews, and technical showcases. Required Skills & Qualifications Technical Skills Strong knowledge of Python development. Good understanding of software engineering fundamentals (data structures, OOP, APIs). Familiarity with REST APIs, JSON, and backend integration patterns. Basic exposure to AI/ML/Generative AI concepts. Experience with Git or similar version control tools. Preferred / Good-to-Have Skills Exposure to LLMs, Generative AI, or AI agent frameworks. Understanding of prompt engineering, embeddings, vector databases, or RAG patterns. Familiarity with cloud platforms (Azure, AWS, or GCP). Knowledge of Docker, containers, or CI/CD pipelines. Interest in Agentic AI, multi-agent systems, or workflow orchestration. Educational Background Candidates who have recently completed degree in: Computer Science Software Engineering Artificial Intelligence / Data Science Electronics / Information Technology   What You Will Gain Hands‑on experience with cutting‑edge agentic AI and real‑world LLM workflows. Opportunity to work with experienced AI engineers, architects, and product teams. Exposure to agile delivery processes, demos, and technical showcases. A strong portfolio project demonstrating practical AI engineering capabilities.