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 alignment basics: what is helpful, harmless, honest (HHH). Understands why alignment is needed for LLM and how it affects model behavior. Studies basic approaches under mentor guidance. |
| Role | Required | Description |
|---|---|---|
| LLM Engineer | Independently implements alignment pipelines: preference dataset preparation, Constitutional AI prompts, DPO training. Evaluates alignment quality through human evaluation and automated benchmarks. |
| Role | Required | Description |
|---|---|---|
| LLM Engineer | Designs comprehensive alignment strategies: multi-objective alignment, iterative RLHF, debate-based alignment. Develops custom evaluation frameworks for measuring alignment quality at scale. |
| Role | Required | Description |
|---|---|---|
| LLM Engineer | Defines alignment standards for the LLM team. Establishes guidelines for alignment methodology, quality metrics, red-teaming processes. Coordinates alignment R&D and production integration. |
| Role | Required | Description |
|---|---|---|
| LLM Engineer | Shapes enterprise alignment strategy for the organization. Defines alignment governance, research directions, and compliance with emerging regulations. Mentors leads on advanced alignment techniques. |