[Uni - Jan till Jun 2027] AI Engineer Intern

As an AI Engineer Intern, you'll get hands-on experience building and improving real components of an enterprise-grade AI platform: intelligent routing between AI models, cost and usage optimisation tooling, guardrails and safety systems, and the tooling that helps teams go from an idea to a governed, deployed agent quickly.

This is a live, evolving platform already being used to solve real operational challenges for enterprise customers — so you'll be contributing to something with genuine impact, not a sandbox exercise.

You'll gain exposure to agentic AI architectures, responsible-AI design patterns, and the practical realities of operating AI safely and reliably at enterprise scale — a strong foundation whether you're headed toward AI infrastructure, applied ML engineering, or platform engineering roles after graduation.

What You’ll Do:
As an AI Engineer Intern, you'll work alongside and support our AI Engineers on real, active components of this platform — helping with implementation, testing, and day-to-day engineering tasks under their guidance.

This is a hands-on learning opportunity: you won't be expected to work independently on complex problems, but you will be contributing to genuine, in-use platform work, gaining practical experience you won't get from coursework or personal projects alone.

Key Responsibilities

Technical Skills

• Write and debug code (primarily Python, or other languages as needed) under the direction of an AI Engineer, following existing patterns and codebase conventions.
• Build a working understanding of core AI/ML concepts used on the platform — large language models, retrieval-augmented generation, and agentic workflows — enough to contribute to and reason about the code you're working on.
• Assist with testing, bug fixes, and small feature implementations assigned by your supervising engineer.
• Learn to use the team's tools, frameworks, and internal systems, asking questions and seeking guidance as needed.
• Steadily build confidence and independence in your technical work over the course of the internship.

Project Delivery

• Complete clearly scoped tasks assigned by an AI Engineer, checking in regularly on progress and blockers.
• Support the team in breaking down larger pieces of work into smaller tasks you can take on.
• Communicate honestly and early when something isn't working or you're stuck — asking for help is expected and encouraged.
• Keep simple documentation or notes on what you've built, so your supervising engineer can review and build on it.
• Work within agreed timelines, with support from your team to reprioritise when needed.

Role Flexibility

• Be open to working on different parts of the platform — backend logic, testing, tooling, documentation — depending on what the team needs support with.
• Adapt as priorities shift, since you'll often be picking up tasks that free up time for the AI Engineers you're supporting.
• Help with day-to-day tasks like preparing demos, organising test cases, or tidying up documentation, in addition to core engineering work.
• Bring curiosity and a willingness to learn — this role is about growing your skills while providing real, useful support to the team.

• Proficiency or willingness to learn programming/scripting languages (e.g. Python, SQL, JavaScript).
• Basic understanding of AI/ML concepts (e.g. large language models, APIs) or strong willingness to learn.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively with cross-functional engineering teams.
• Familiarity with version control (e.g. Git), basic software engineering practices, and observability tooling (e.g. OpenTelemetry/OTel) is a plus.
• This internship is ideal for a candidate interested in building hands-on AI engineering experience, contributing to a real enterprise AI platform, and learning directly from experienced AI Engineers.

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.

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