Careers

AI & DATA

AI Engineer

Build real products on top of modern AI models.

TechnicalBuilder

Why it fits you

You want to work at the edge of what's technically possible, and you care about turning a powerful model into something people can actually use.

Technical90

You want to understand how modern AI systems actually work.

Builder80

You'd rather ship a working product than stay purely theoretical.

Analytical62

You evaluate whether a model's output is actually good.

What you actually do

1

Integrate AI models into products

Connect language and ML models to real application logic.

2

Design prompts and evaluation criteria

Shape how the system behaves and how you measure if it's working.

3

Manage cost, latency and reliability

Keep AI features fast, affordable and predictable in production.

4

Stay current with a fast-moving field

Track new models and techniques worth adopting.

A day in the life

  1. 9:30 AM

    Review model outputs

    Check yesterday's evaluation results for regressions.

  2. 11:00 AM

    Build a new AI feature

    Wire a model into the product and handle edge cases.

  3. 1:30 PM

    Cross-team sync

    Align with product and design on what the feature should do.

  4. 3:30 PM

    Tune and test

    Adjust prompts or parameters and re-run evaluations.

Skills you'll use

PythonPrompt engineeringAPI integrationEvaluation & testing

How this career can grow

Junior AI Engineer

Entry level

AI Engineer

Own AI features end to end

Senior AI Engineer

Set technical direction for AI systems

Titles, timelines and paths vary a lot by country, company and team — this is a typical shape, not a promise.

Where you could work

AISaaSEnterprise SoftwareFinTechCybersecurity

Nearly every software company is adding AI features — this role increasingly exists everywhere.

How to get there

1

Learn to code and how ML models work

Python, plus the basics of how language/ML models are trained and used.

2

Build with real AI APIs

Ship a small project that actually calls a model in production.

3

Get hands-on experience

Target AI-focused internships or engineering roles that touch AI features.

CAREER PATH

Build my Path

Get a step-by-step plan — Understand, Build, Experience, Prepare.

4 stages · Self-paced

Roles differ by company, team and country. This page describes typical work to help you explore — it isn't a job guarantee, and your day-to-day may look different.