§ 01

THE FLOOR

Skills you can't skip. Below this floor your resume doesn't get opened.

7MUST-HAVE SKILLS
Skills · ranked by prevalence
01Python75.8%The language. 3 in 4 jobs.
02Speech LLMs48.3%Audio LLM specialism.
03Prompt Engineering35.4%Foundational LLM craft.
04AWS34.8%Dominant cloud platform.
05Java34.3%Underlying backend substrate.
06Problem Solving32.7%DSA / interview gate.
07LangChain31.4%Dominant LLM framework.
On the bubble
AzureLLM APIsGCPOpenAI APIRAGDockerAgileMicroservicesJavaScript
Floor skills derived from validated ai & llm applications postings on the astrid.postingmeta collection at JUNIOR + ENTRY seniority.
§ 02

PICK YOUR TRACK

Sub-tracks within this profile. Picking one is non-optional.

01

AI / LLM APP BUILDER

← THE DEFAULT
FA share64.7%of FA postings · n = 257
Salary15± ₹7LPA · mean ± SD
Company mix
MNCs & GCCs~40%
Established SME~18%
Lala Companies~15%
Funded Startups~13%
Hires at
Wells FargoMetLifeOakNorth in IndiaLimeChatTuring
Add to the floor
OpenAI APIRAGLLM APIsGCPAzureDocker
02

AI SWE INTEGRATION

← THE BACKEND BRIDGE
FA share28.7%of FA postings · n = 114
Salary18± ₹11LPA · mean ± SD
Company mix
MNCs & GCCs~39%
MAANG & Elite Global Tech~17%
Established SME~15%
Funded Startups~11%
Hires at
PwC IndiaAmazonMicrosoftAssurantGoogle
Add to the floor
JavaScriptAzureTypeScriptAgileReactNode.js
03

AI / ML ENGINEER

← EXPERIENCED-ONLY
FA share4.8%of FA postings · n = 19
Salary22± ₹13LPA · mean ± SD
Company mix
MNCs & GCCs~38%
Unicorns & Indian Product~21%
MAANG & Elite Global Tech~18%
Hires at
AmazonGoogleInfosysMicrosoftOracle
Add to the floor
PyTorchTensorFlowDistributed SystemsModel DeploymentMicroservicesAlgorithms
Small fresher sample, treat as directional only.
04

AI CONVERSATIONAL

← EXPERIENCED-ONLY
FA share1.8%of FA postings · n = 7
Salary20± ₹13LPA · mean ± SD
Company mix
MAANG & Elite Global Tech~55%
MNCs & GCCs~20%
Hires at
Amazon66degreesEltropyMorgan StanleyUplers
Add to the floor
Chatbot DevelopmentUX DesignGCPUI DesignTroubleshootingSpoken Conversational AI
Small fresher sample, treat as directional only.
Track shares and salary statistics (mean ± SD) derived from validated ai & llm applications postings on the astrid.postingmeta collection at JUNIOR + ENTRY seniority.
§ 03

THE SKILL ARC

What ramps with seniority. What travels if you leave the profile.

A

Senior skew — what ramps with seniority.

Rising · FA → SR
01MLOps
FA11.5%
SR21.9%
+10.4 pp
02Model Monitoring
FA12.0%
SR21.9%
+10.0 pp
03Angular
FA4.7%
SR14.7%
+9.9 pp
04Performance Optimization
FA7.2%
SR16.5%
+9.3 pp
05Model Evaluation
FA10.8%
SR19.5%
+8.7 pp
06Kubernetes
FA20.3%
SR28.9%
+8.6 pp
07Distributed Systems
FA12.4%
SR20.9%
+8.5 pp
08Azure
FA28.0%
SR36.1%
+8.1 pp
09Vue.js
FA1.8%
SR9.5%
+7.7 pp
Fading · FA → SR
01OpenAI API
FA26.0%
SR14.1%
-11.9 pp
02Python
FA75.8%
SR65.7%
-10.2 pp
03UX Design
FA11.7%
SR2.5%
-9.2 pp
04Git Flow
FA19.0%
SR10.0%
-8.9 pp
05GitHub Actions
FA17.2%
SR9.2%
-8.0 pp
B

Portability — what travels if you leave the profile.

Portable · cross-profile spread (out of 15)
01Problem Solving
15/15
Mobile Development41%Data Analytics & BI40%Enterprise Platforms40%
02Agile
15/15
Fullstack Development47%Enterprise Platforms43%Generalist SWE40%
03Debugging
13/15
Systems & Embedded36%Mobile Development27%Generalist SWE25%
04Java
12/15
Backend Development59%Fullstack Development42%Security Engineering42%
05SQL
12/15
Data Analytics & BI63%Data Engineering57%Fullstack Development45%
06SDLC
12/15
Generalist SWE38%Enterprise Platforms22%Domain-Specific Development19%
07Python
11/15
Data Science & ML78%Data Engineering57%DevOps & Platform51%
08Performance Optimization
11/15
Mobile Development26%Frontend Development20%Generalist SWE20%
09AWS
11/15
DevOps & Platform48%Security Engineering43%Backend Development41%
10Code Reviews
11/15
Frontend Development25%Backend Development25%Fullstack Development23%
11System Design
11/15
Generalist SWE27%Backend Development18%DevOps & Platform17%
12JavaScript
10/15
Frontend Development68%Fullstack Development46%Domain-Specific Development20%
13Azure
10/15
Security Engineering40%DevOps & Platform35%Data Engineering33%
Locked · stays inside the profile
01Speech LLMs2/15
02RAG1/15
03Prompt Engineering2/15
04Agentic AI1/15
05LangChain2/15
06LLM APIs1/15
07Model Monitoring2/15
08MLOps2/15
09OpenAI API1/15
10Model Evaluation2/15
11Agent Orchestration1/15
12PyTorch2/15
13Model Deployment2/15
14TensorFlow2/15
15LangGraph1/15
Skill arc derived from validated ai & llm applications postings on the astrid.postingmeta collection. FA = ENTRY + JUNIOR seniority; cross-profile spread computed at the 10% prevalence threshold across all 15 profiles.
§ 04

TARGETING YOUR COMPANY POOL

Hiring volume splits across two distinct company pools with different skill profiles.

MAANG & Tier-1 Tech

n = 328usable
CompaniesGoogleAnthropicMetaMicrosoft AIOpenAICohereStripe
Skill skew · MAANG & Tier-1 Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
54.4%
Distributed Systems
11.2%
+43.3 pp
51.7%
Code Reviews
14.5%
+37.2 pp
41.4%
System Design
4.6%
+36.8 pp
38.3%
Scalability
3.3%
+35.0 pp
39.4%
SDLC
9.9%
+29.6 pp
39.7%
Design Patterns
10.5%
+29.2 pp
35.8%
Java
13.2%
+22.7 pp
27.2%
Distributed System Design
5.9%
+21.3 pp
18.9%
Data Structures
1.3%
+17.6 pp

IT Services & BPO

n = 149usable
CompaniesTCSInfosysWiproLTIMindtreeCognizant
Skill skew · MAANG & Tier-1 Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
34.7%
Python
67.8%
-33.0 pp
2.2%
LangChain
25.7%
-23.4 pp
5.6%
Prompt Engineering
26.3%
-20.8 pp
13.9%
Azure
30.3%
-16.4 pp
5.8%
Kubernetes
20.4%
-14.6 pp
3.1%
Root Cause Analysis
17.1%
-14.0 pp
22.2%
Problem Solving
36.2%
-14.0 pp
1.4%
Docker
15.1%
-13.7 pp
0.6%
LangGraph
13.8%
-13.3 pp
Company-pool skills derived from validated ai & llm applications postings on the astrid.postingmeta collection, scoped to the MAANG + Tier-1 Global and IT Services & BPO company classes.