Guest lecture · COMS W4995 Agentic Engineering
What Gets You Hired, What Gets You Promoted, and What AI Changed
Yan Wang · Superlinear Academy · Ph.D. Columbia '15

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ai-builders.com/resources/w4995
The whole talk answers three questions
01What will get you a job?
02What will get you promoted after you get a job?
03Did AI change the answers?
Before AI · every level answers a different question
What people in the role list · AI engineer title, member profilesSkills most distinctive to the title
Machine Learning
LLMs
LangChain
What employers ask for · RAG mentions in US AI job postings
2,885
→
12,609
2024 → 2025 · Stanford AI Index 2026 (Lightcast)
How we'll take each one apart
Lasting problem · appreciates
①Why did it take this shape?
②What changed?
③Split it: ask two questions
If the model were 10x better, would this still matter?
What problem is it actually solving, and do I still have it?
Case 1 · RAG · ① Why this shape
Your documents
01Chunk
02Embed
03Store
04Retrieve
05Stuff into the prompt
Case 1 · RAG · ② What changed
Case 1 · RAG · ③ Split it
RAG · 2020
RAG
chunk · embed · retrieve
If the model were 10x better, would this still matter?
What problem is it actually solving, and do I still have it?
Case 2 · LangChain · ① Why this shape
The layerThe model weakness it patched · 2022–23
Case 2 · LangChain · ② What changed
Absorbed by models, APIs and runtimes
AgentExecutor
Native tool calling · Jun 2023
OutputParser
Structured outputs · Aug 2024
Chain
Models that plan multi-step work
Memory
Long context, plus files the agent reads and writes
What's left: a loop
Modeldecides the next step
Toolruns one action
Resultgoes back into context
What it sees
What it may do
When it stops
When it asks a human
Case 2 · LangChain · ③ Split it
LangChain · 2022
LangChain
chains · agents · abstractions
If the model were 10x better, would this still matter?
What problem is it actually solving, and do I still have it?
Case 3 · MCP · ① Why this shape
OpenAI API
Database
Anthropic API
Calendar
Gemini API
File store
Your agent
Issue tracker
MCP
Every vendor format × every tool
One protocol in the middle
Case 3 · MCP · ② What changed
gh pr list --state open
git log --oneline -5
yourtool --help
2,000tokens, down from 150,000
Source: Anthropic Engineering, “Code execution with MCP”, Nov 4, 2025
Case 3 · MCP · ③ Split it
MCP · 2024
MCP
servers · clients · JSON-RPC
If the model were 10x better, would this still matter?
What problem is it actually solving, and do I still have it?
Case 4 · Fine-tuning · ① Why this shape · ② What changed
Knowledge injection didn't hold up
My knowledge-base experiment
What it's actually for
Job 1 · style that prompts can't pin down
Case 4 · Fine-tuning · ③ Split it
Fine-tuning · 2023
Fine-tuning
domain data · weights · LoRA
If the model were 10x better, would this still matter?
What problem is it actually solving, and do I still have it?
Four cases, one pattern
Nobody splits it for you.

RAG
Packaging · depreciates
a fixed retrieve-then-generate script
The fixed pipeline
Underneath · a course
Information retrieval · linear algebra

LangChain
Packaging · depreciates
classes that patched weak models
Legacy chain classes
Underneath · a course
Operating systems · feedback control

MCP
Packaging · depreciates
every tool through the context window
MCP-first
Underneath · a course
Networks · distributed systems

Fine-tuning
Packaging · depreciates
fine-tuning to add knowledge
Knowledge injection
Underneath · a course
Linear algebra · experimental design
AI-engineer pay premium over non-AI engineers
Levels.fyi, AI Engineer Compensation Trends Q3 2025 · Indeed Hiring Lab, Jul 23 2026 (seniority classified by tasks)
Share of US tech postings, 2019 → 2025
Percentage points. All US jobs, May 2026: senior postings +14.7% year over year, entry −7.5%.
The strongest objection
“I know it's IR. So I'll build the best RAG.”
Does a CS degree still matter?
Bachelor of Science
Computer Science
— with seal —
What you memorised
The OSI seven layers, in order
Determinants by cofactor expansion
A red-black tree, by hand
Compilers
Principles, Techniques, & Tools
Aho · Lam · Sethi · Ullman
What a CS degree gave you · for after class
Compilers
Before AI · my internship
This semester, with agents
What a CS degree gave you
Computer networks
Before AI · clicking Pay twice
This semester, with agents
What a CS degree gave you · for after class
Operating systems
Before AI · the last concert ticket
This semester, with agents
What a CS degree gave you
Algorithms
Before AI · a production line
This semester, with agents
What a CS degree gave you
Linear algebra
Before AI · Netflix recommendations
Now · fine-tuning on one GPU
If you're switching in, and if you're not
You already carry intuitions like these
Data science · experiments
Operations research · optimization
What the market pays for
IFeasibility
IIDifficulty
IIIDecision
Judgment 1 of 3 · Feasibility
No exact solution at scale
Judgment 2 of 3 · Difficulty
Half a day
Decades
Your outline compiler
"Build that in a weekend"
GCC
Judgment 3 of 3 · Decision
Knobs that reach it · senior
Choosing the sweet spot · staff
Student
Solve the problem you were given
Employee
Deliver the task you were assigned
Manager
Decide what to delegate, and check it
Three ways to learn with AI
So, did AI change the answers?
| Before AI | After AI |
| What gets you hired | | |
| What gets you promoted | | |
Depth gets you hired, and the nouns come with it.
Judgment gets you promoted.
AI made the nouns churn faster and judgment matter sooner.
On your next build

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