Domain
Machine Learning & AI
Skill Profile
This skill defines expectations across roles and levels.
Roles
1
where this skill appears
Levels
5
structured growth path
Mandatory requirements
0
the other 5 optional
Machine Learning & AI
LLM & Generative AI
2/22/2026
Choose your current level and compare expectations. The items below show what to cover to advance to the next level.
The table shows how skill depth grows from Junior to Principal. Click a row to see details.
| Role | Required | Description |
|---|---|---|
| LLM Engineer | Knows LLM safety basics: jailbreaking, prompt injection, harmful content. Understands basic approaches to content filtering and safety classifiers for LLM applications. |
| Role | Required | Description |
|---|---|---|
| LLM Engineer | Independently implements safety pipelines: input/output filtering, guardrails (NeMo Guardrails, Guardrails AI), red-teaming. Configures content moderation and PII detection for production LLM. |
| Role | Required | Description |
|---|---|---|
| LLM Engineer | Designs comprehensive safety systems: multi-layer defense, adversarial robustness testing, dynamic safety policies. Develops custom safety classifiers and automated red-teaming frameworks. |
| Role | Required | Description |
|---|---|---|
| LLM Engineer | Defines LLM safety standards for the team. Establishes safety testing protocols, incident response for safety events, governance processes. Coordinates safety R&D and compliance. |
| Role | Required | Description |
|---|---|---|
| LLM Engineer | Shapes enterprise LLM safety strategy. Defines safety governance, compliance with AI regulations, and organization-wide safety standards. Mentors leads on advanced safety techniques and risk management. |