AI Engineering Intern -Agentic Systems(Academic Intern)

CompanyUST

LocationLondon, England, United Kingdom

Posted At1/28/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (56.0%).

Occupation Type

IT business analysts, architects and systems designers

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,900 (£28.15 per hour)

Occupation rate applies

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Description

Role Description

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.

Technical Skills

Required Skills & Qualifications

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.

If interested please apply with your updated CV for an immediate discussion

#UST

Skills

Software development, AI agent development, Multi-agent workflows, Tool-calling, Python