Top AI Tools & Frameworks

Most requested technologies in AI/ML job postings.

Python
58 (87.9%)
PyTorch
13 (19.7%)
SQL
11 (16.7%)
Claude
10 (15.2%)
RAG
10 (15.2%)
GPT-4
10 (15.2%)
LLMs
10 (15.2%)
Transformers
9 (13.6%)
AWS
7 (10.6%)
Machine Learning
7 (10.6%)
Evaluation
6 (9.1%)
Kubernetes
6 (9.1%)
A/B Testing
6 (9.1%)
Docker
5 (7.6%)
Product Strategy
5 (7.6%)
Key Insight: Python and PyTorch dominate, with LangChain emerging as the top LLM framework.

Job Categories

Distribution of AI roles by category.

AI/ML Engineer
11 (16.7%)
Prompt Engineer
9 (13.6%)
AI Agent Developer
8 (12.1%)
LLM Engineer
8 (12.1%)
MLOps Engineer
8 (12.1%)
Research Engineer
8 (12.1%)
Data Scientist
8 (12.1%)
AI Product Manager
6 (9.1%)

Remote Work Distribution

Work arrangement preferences in AI roles.

hybrid
37 (56.1%)
remote
20 (30.3%)
onsite
9 (13.6%)

LLM Providers

Claude
10 (15.2%)
GPT-4
10 (15.2%)
Hugging Face
2 (3.0%)

Languages

Python
58 (87.9%)
JavaScript
1 (1.5%)
TypeScript
1 (1.5%)

Techniques

RAG
10 (15.2%)
Fine-tuning
4 (6.1%)
RLHF
2 (3.0%)
Embeddings
1 (1.5%)

Other

Evaluation
6 (9.1%)
Tool Use
4 (6.1%)
Product Strategy
5 (7.6%)
LLMs
10 (15.2%)
User Research
5 (7.6%)
Roadmapping
3 (4.5%)
Content Generation
1 (1.5%)
A/B Testing
6 (9.1%)
Research
3 (4.5%)
Fraud Detection
1 (1.5%)

LLM Frameworks

LangChain
3 (4.5%)
AutoGen
1 (1.5%)

ML Frameworks

PyTorch
13 (19.7%)
Transformers
9 (13.6%)
JAX
1 (1.5%)
TensorFlow
3 (4.5%)

Cloud/Infrastructure

Kubernetes
6 (9.1%)
Docker
5 (7.6%)
AWS
7 (10.6%)
MLflow
2 (3.0%)
Bedrock
1 (1.5%)
SageMaker
2 (3.0%)
GCP
3 (4.5%)
Azure
1 (1.5%)
Vertex AI
1 (1.5%)

Vector Databases

Pinecone
1 (1.5%)

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