Data & AIFeatured

AI Engineer

Builds applications and systems powered by AI models, integrating them into products people actually use.

Also known as: Applied AI Engineer, GenAI Engineer

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What you do

Integrates pre-trained or custom AI models, such as language or vision models, into software products, and designs the prompts, retrieval systems, and application logic around them. Focuses more on application-layer engineering than on training models from scratch, though may fine-tune existing models for specific tasks, and works with APIs, safeguards, and evaluation tools to keep AI features reliable.

Typical work environment

Desk-based software development work, usually in a product engineering team, collaborating with product managers and designers as well as ML specialists.

Typical entry point

Software engineer role focused on AI features, or a junior AI engineer role in a product team

Relevant subjects

Core

Computer Science

Also relevant

Mathematics

Relevant interests

Core

AI / DataProgramming

Also relevant

ComputersEntrepreneurship

Useful skills

Programming· AdvancedPython· AdvancedProblem solving· AdvancedCreativity· IntermediateCommunication· Intermediate

These are useful, relevant skills to build over time — not a checklist you need to already have.

Common education routes

Bachelor's degree—Computer Science EngineeringPrimary route
Bachelor's degree—Software EngineeringPrimary route
Bachelor's degree—Artificial Intelligence & Machine LearningCommon route

These are common routes in, not the only path — and not a university or course recommendation.

Career characteristics

Strong salary potentialRemote-work friendlyGood international mobilityEntrepreneurial path availableCreativity-drivenDeep technical specialisation

General tendencies for this career, not a guarantee — actual roles vary by employer and location.

Industries

SoftwareAIData

Tags

STEMTechnicalCreativeHigh-growth

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