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Skills deep-dive

AI & LLM Applications

Section 1 / The Floor

The minimum skill expectations for the role

The most common fresher-accessible role in this profile, reduced to its essential skills. Target this stack to get hired quickest.

7MUST-HAVE SKILLS
Skills · ranked by prevalence
01Python75.8%the base language for every AI role
02Prompt Engineering36.1%shaping reliable model output
03LangChain31.6%the standard orchestration toolkit
04RAG25.8%grounding answers in company data
05OpenAI API24.9%calling the foundation models
06LangGraph15.2%stateful agent workflows
07Embeddings13.9%how meaning becomes searchable
Floor skills derived from validated fresher-accessible postings across Indian job boards for the ai & llm applications profile.
Section 2 / Pick Your Track

Where to specialize once you're in

Sub-tracks within this profile. Picking one is not optional.

01

AI / LLM APP BUILDER

← THE DEFAULT
FA share64.3%of fresher postings
Entry pay₹4to ₹11LPA · min to typical
On top of the floor
AWSJavaLLM APIsAzureGCP

Skews to MNCs and global capability centres, with a startup and services-firm tail.

02

AI IN PRODUCT CODE

← FOR PRODUCT ENGINEERS
FA share28.5%of fresher postings
Entry pay₹4to ₹14LPA · min to typical
On top of the floor
Java

Leans more to MAANG and elite global tech than the app-builder track, over the usual MNC base.

03

ML / DL ENGINEERING

← THE MODEL-CENTRIC TRACK
FA share4.8%of fresher postings
Entry pay₹4to ₹13LPA · min to typical · profile-wide
On top of the floor
TensorFlowPyTorchJavaAWSModel Deployment

Led by MNCs and GCCs with a strong elite-tech share and a services tail.

Small sample, so the model-centric track's figures are directional only.
Track shares and entry-level salary ranges (minimum to mean) derived from validated fresher-accessible postings across Indian job boards for the ai & llm applications profile.
Section 3 / The Skill Arc

The skills that grow with your seniority

Two things. Which skills grow more important with seniority, and which carry over when switching profiles.

A

Senior skew - what skills grow more important with seniority.

Rising · FA → SR
01Model Monitoring
FA10.4%
SR20.8%
+10.4 pp
02Angular
FA6.3%
SR16.7%
+10.4 pp
03Azure
FA27.3%
SR36.6%
+9.3 pp
04Kubernetes
FA20.4%
SR29.3%
+8.9 pp
05Cloud-Native Design
FA3.3%
SR12.2%
+8.8 pp
06MLOps
FA11.2%
SR19.5%
+8.3 pp
07Spring Boot
FA3.0%
SR10.8%
+7.8 pp
08AWS
FA33.5%
SR41.1%
+7.7 pp
09Distributed Systems
FA14.3%
SR21.3%
+7.0 pp
Fading · FA → SR
01OpenAI API
FA24.9%
SR13.7%
-11.2 pp
02Python
FA75.8%
SR66.4%
-9.4 pp
03UX Design
FA11.0%
SR2.1%
-8.9 pp
04Git Flow
FA18.2%
SR9.6%
-8.6 pp
05LLM APIs
FA27.3%
SR19.7%
-7.6 pp
B

Portability - what skills remain valued in other profiles.

Portable · cross-profile spread (out of 15)
01Java
12/15
Backend Development59%QA & Testing42%Fullstack Development39%
02SQL
12/15
Data Analytics & BI64%Data Engineering58%Fullstack Development42%
03Python
11/15
Data Science & ML78%Data Engineering73%DevOps & Platform Engineering54%
04AWS
10/15
DevOps & Platform Engineering44%Data Engineering44%Fullstack Development41%
05Docker
8/15
Backend Development28%DevOps & Platform Engineering25%Fullstack Development21%
06Kubernetes
8/15
DevOps & Platform Engineering35%Security Engineering27%Backend Development22%
07Azure
7/15
Data Engineering30%DevOps & Platform Engineering28%Security Engineering26%
08GCP
7/15
Security Engineering25%DevOps & Platform Engineering22%Data Engineering21%
09Microservices
6/15
Backend Development34%Fullstack Development29%Security Engineering19%
Locked · stays inside the profile
01Prompt Engineering1/15
02LangChain1/15
03OpenAI API1/15
04RAG1/15
05Agentic AI1/15
06LangGraph1/15
07Embeddings1/15
08LLM APIs2/15
Skill arc derived from validated postings across Indian job boards for the ai & llm applications profile, comparing fresher-accessible and senior prevalence. Cross-profile spread computed at a one-in-ten prevalence threshold across all 15 profiles.
Section 4 / Targeting your Company Pool

Which skills each employer tier wants

Two distinct company pools with different skill profiles.

MAANG and Tier-1 Global Tech

n = 430usable
CompaniesGoogleAnthropicMetaMicrosoft AIOpenAICohereStripe
Skill skew · MAANG and Tier-1 Global Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
54.9%
Distributed Systems
11.4%
+43.5 pp
51.9%
Code Reviews
13.9%
+37.9 pp
37.4%
Scalability
3.2%
+34.3 pp
40.5%
SDLC
10.1%
+30.3 pp
39.3%
Design Patterns
10.1%
+29.2 pp
35.1%
Java
13.9%
+21.2 pp
21.4%
Algorithms
1.9%
+19.5 pp
20.7%
Data Structures
1.3%
+19.4 pp
19.5%
Performance Optimization
7.6%
+11.9 pp

IT Services & BPO

n = 158usable
CompaniesTCSInfosysWiproLTIMindtreeCognizant
Skill skew · MAANG and Tier-1 Global Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
33.7%
Python
68.4%
-34.6 pp
1.9%
LangChain
25.9%
-24.1 pp
11.9%
Azure
32.3%
-20.4 pp
6.7%
Prompt Engineering
26.6%
-19.8 pp
5.3%
Kubernetes
20.9%
-15.5 pp
2.6%
Root Cause Analysis
16.5%
-13.9 pp
6.3%
MLOps
19.6%
-13.3 pp
3.7%
TensorFlow
16.5%
-12.7 pp
5.8%
RAG
18.4%
-12.5 pp
Company-pool skills derived from validated postings across Indian job boards for the ai & llm applications profile, scoped to two company classes: MAANG and Tier-1 Global Tech, and IT Services & BPO.