What does this work involve?
AI engineers build software that uses artificial intelligence to solve practical problems. Generative AI engineers work with models that create text, images or other content, while AI/ML roles may also involve training and running machine-learning models. Teams need people who can test how these systems behave and decide when a person should remain in control. Specialist work includes RAG, LLM applications, Agentic AI and MLOps.
Example professions in this area
- AI Engineer
- ML Engineer
- GenAI Engineer
- Applied Scientist
Illustrative profession names only; these are not vacancies or hiring claims.
Skills and topics in AI & Generative AI
RAG and LLM applications
RAG engineers work on retrieval, document preparation, grounding and answer evaluation. LLM engineers also need to understand prompting, model interfaces, latency and failure cases.
Agentic AI
Agentic workflows combine a model with tools and decision steps. Document tool permissions, stopping conditions, handoffs and tests; do not describe a scripted workflow as autonomous without evidence.
MLOps and evaluation
MLOps spans reproducible data and model pipelines, deployment, monitoring and rollback. For GenAI, include evaluation datasets and checks for inaccurate or unsafe outputs.
System engineering
Python, APIs, data access, observability, access controls and cost awareness matter when moving a demonstration into an operational application.
Build a stronger professional profile
A Talent Passport lets you document your work in a structured way. You decide what is visible.
Show your role
Separate the parts you designed, built, tested or operated from work completed by a wider team.
Explain evaluation
Describe how you checked retrieval relevance, answer quality, errors and human escalation without sharing confidential prompts or data.
Name your stack in context
Connect Python, vector search, model services and deployment tools to actual responsibilities instead of presenting a long tool inventory.
Put your AI & Generative AI experience in one profile. Register, verify your email, then complete your profile and optionally upload your resume. Already registered? Sign in.
Stay ready for the right opportunity
Keep your skills and experience up to date. People make hiring decisions; see how it works.
Keep a non-confidential case study
Record the initial problem, the alternatives considered, the approach selected and what you learned from evaluation.
Update as the work changes
Distinguish hands-on RAG, agentic AI and MLOps experience; keep your Passport current even when you are not looking for a role.
Work in AI & Generative AI?
Create your account, verify your email, then complete your profile and upload your resume when you are ready.
Step 1
Create account and verify email
Register, then confirm your email address before signing in.
Step 2
Create your profile
After signing in, complete your professional profile in a few guided steps.
Step 3
Upload your resume
Optionally add a .pdf or .docx resume. You can manage resumes later in your Talent Passport.
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