Liquid AI tech stack
Liquid AI builds mostly with Python, C++, Rust. Its stack also includes PyTorch, vLLM, Hugging Face, DeepSpeed. Python is named in 4 of the 17 job postings Liquid AI published in the last 12 months (24%). Counted by Alion from the job postings of Liquid AI, updated Sep 30, 2026.
What programming languages does Liquid AI use?
Python is named in 24% of job postings at Liquid AI, followed by C++ (12%), Rust (6%).
What frameworks and libraries does Liquid AI use?
PyTorch is named in 24% of job postings at Liquid AI, followed by DeepSpeed (12%), FSDP (12%), MLX ML (12%).
PyTorch
4 24%
DeepSpeed
2 12%
MLX ML
2 12%
SGLang
2 12%
JAX
1 6%
Show all (12)
What cloud and platforms does Liquid AI use?
vLLM is named in 18% of job postings at Liquid AI, followed by Hugging Face (12%), GitHub (6%), Linux (6%).
Cerebras 
What developer tools does Liquid AI use?
llama.cpp is named in 24% of job postings at Liquid AI, followed by TensorRT (12%), Jupyter Notebook (6%), ONNX (6%).
What AI and ML technologies does Liquid AI use?
LLM is named in 24% of job postings at Liquid AI, followed by VLM (12%), AWQ (6%).
Which engineering practices does Liquid AI ask for?
Fine-tuning is named in 53% of job postings at Liquid AI, followed by Multimodal AI (41%), Post-training (35%), SFT (35%).
Fine-tuning
9 53%
Multimodal AI
7 41%
Reinforcement Learning
4 24%
Quantization
4 24%
Show all (26)
What does each Liquid AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
14 postingsHow does your stack fit Liquid AI?
How is the Liquid AI stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Liquid AI stack?
Liquid AI scores 79 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 3; legacy ones: 0.
How common is the Liquid AI stack in its industry?
Share of the 173 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Liquid AI
Questions about the Liquid AI tech stack
What programming languages does Liquid AI use?
The languages named in Liquid AI job postings are Python (24%), C++ (12%), Rust (6%), as a share of the 17 postings of the last 12 months.
Does Liquid AI use PyTorch?
Yes. PyTorch is named in 4 of 17 job postings (24%) and required in 4 of them.
What cloud and platforms does Liquid AI use?
The cloud and platforms named in Liquid AI job postings are vLLM (3), Hugging Face (2), GitHub (1) (postings in brackets).
What skills do you need for a AI/ML job at Liquid AI?
AI/ML postings at Liquid AI most often require PyTorch (4), Python (4), C++ (2), DeepSpeed (2), out of 14 postings in the last 12 months.
Is the Liquid AI tech stack changing?
Yes. MLX ML, ONNX Runtime first appeared in Liquid AI job postings in the last six months.
How modern is the Liquid AI tech stack?
Liquid AI scores 79 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 3; legacy ones: 0.
How does Alion know the Liquid AI tech stack?
Alion reads every job posting Liquid AI publishes and tags the technologies each one names. The figures on this page count the 17 postings of the last 12 months and were updated on Sep 30, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Liquid AI tech stack: 58 technologies from 17 job postings", as of Sep 30, 2026. https://alion.io/company/liquid-ai/technologies