Top AI Tools & Frameworks

Most requested technologies in AI/ML job postings.

Python
10 (83.3%)
RAG
4 (33.3%)
Claude
3 (25.0%)
GPT-4
3 (25.0%)
Evaluation
2 (16.7%)
LangChain
2 (16.7%)
PyTorch
2 (16.7%)
Transformers
2 (16.7%)
AWS
2 (16.7%)
Research
2 (16.7%)
Fine-tuning
1 (8.3%)
Tool Use
1 (8.3%)
Hugging Face
1 (8.3%)
Kubernetes
1 (8.3%)
Docker
1 (8.3%)
Key Insight: Python and PyTorch dominate, with LangChain emerging as the top LLM framework.

Job Categories

Distribution of AI roles by category.

Prompt Engineer
3 (25.0%)
LLM Application Developer
2 (16.7%)
AI/ML Engineer
2 (16.7%)
AI Agent Developer
1 (8.3%)
ML Ops Engineer
1 (8.3%)
AI Product Manager
1 (8.3%)
Research Engineer
1 (8.3%)
AI Safety/Red Team
1 (8.3%)

Remote Work Distribution

Work arrangement preferences in AI roles.

hybrid
6 (50.0%)
remote
5 (41.7%)
onsite
1 (8.3%)

LLM Providers

Claude
3 (25.0%)
GPT-4
3 (25.0%)
Hugging Face
1 (8.3%)

Languages

Python
10 (83.3%)

Techniques

RAG
4 (33.3%)
Fine-tuning
1 (8.3%)

Other

Evaluation
2 (16.7%)
Tool Use
1 (8.3%)
Product Strategy
1 (8.3%)
LLMs
1 (8.3%)
User Research
1 (8.3%)
Roadmapping
1 (8.3%)
Content Generation
1 (8.3%)
A/B Testing
1 (8.3%)
Research
2 (16.7%)
Fraud Detection
1 (8.3%)

LLM Frameworks

LangChain
2 (16.7%)

ML Frameworks

PyTorch
2 (16.7%)
Transformers
2 (16.7%)
JAX
1 (8.3%)
TensorFlow
1 (8.3%)

Cloud/Infrastructure

Kubernetes
1 (8.3%)
Docker
1 (8.3%)
AWS
2 (16.7%)
MLflow
1 (8.3%)
Bedrock
1 (8.3%)
SageMaker
1 (8.3%)

Vector Databases

Pinecone
1 (8.3%)

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