Liquid AI
AI Research Labs · Foundation Models

Liquid AI tech stack

Liquid AI builds mostly with Python, C++, Rust. Its stack also includes PyTorch, vLLM, ONNX Runtime, Hugging Face. PyTorch is named in 6 of the 23 job postings Liquid AI published in the last 12 months (26%). Counted by Alion from the job postings of Liquid AI, updated Nov 14, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 14, 2026
Technologies in use
74
Postings analysed
23
Open now
16
Modernity
79 /100
New in 6 months
5

What programming languages does Liquid AI use?

Python is named in 17% of job postings at Liquid AI, followed by C++ (9%), Rust (4%).

Python 4 17% required in 100% · 4 open now · since Jul 2025
C++ 2 9% required in 100% · 1 open now · since Jul 2025
Rust 1 4% optional · since Jan 2026

What frameworks and libraries does Liquid AI use?

PyTorch is named in 26% of job postings at Liquid AI, followed by ONNX Runtime (17%), MLX ML (13%), SGLang (9%).

PyTorch 6 26% required in 100% · 6 open now · since Jul 2025
ONNX Runtime 4 17% required in 75% · 3 open now · since Jul 2026
MLX ML 3 13% required in 67% · 3 open now · since Jul 2026
SGLang 2 9% optional · 2 open now · since Jan 2026
DeepSpeed 1 4% required in 100% · 1 open now · since Jul 2025
ExecuTorch 1 4% required in 100% · 1 open now · since Oct 2026
FSDP 1 4% required in 100% · 1 open now · since Jul 2025
JAX 1 4% required in 100% · 1 open now · since Dec 2025
Show all (13)
TensorFlow1
Transformers1
Hadoop1
Ray1
TensorRT-LLM1

What cloud and platforms does Liquid AI use?

vLLM is named in 17% of job postings at Liquid AI, followed by Hugging Face (9%), GitHub (4%), Linux (4%).

vLLM 4 17% required in 25% · 3 open now · since Jan 2026
Hugging Face 2 9% required in 100% · 2 open now · since Oct 2025
GitHub 1 4% required in 100% · 1 open now · since Oct 2025
Linux 1 4% required in 100% · since Jul 2026
TGI 1 4% required in 100% · 1 open now · since Oct 2026
Cerebras 1 4% optional · since Jan 2026
Kubernetes 1 4% optional · since Jul 2026

What developer tools does Liquid AI use?

llama.cpp is named in 22% of job postings at Liquid AI, followed by ONNX (9%), GGUF (9%), TensorRT (9%).

llama.cpp 5 22% required in 60% · 3 open now · since Jan 2026
ONNX 2 9% required in 100% · 2 open now · since Aug 2026
GGUF 2 9% required in 50% · 1 open now · since Apr 2026
TensorRT 2 9% optional · 1 open now · since Jan 2026
Jupyter Notebook 1 4% required in 100% · since Apr 2026
OpenVINO 1 4% required in 100% · since Oct 2026
lm-eval-harness 1 4% required in 100% · 1 open now · since Nov 2026
Groq 1 4% optional · since Jan 2026
Show all (10)
SLURM1
TPU1

What AI and ML technologies does Liquid AI use?

LLM is named in 22% of job postings at Liquid AI, followed by AWQ (9%), GPTQ (4%), Gemma (4%).

LLM 5 22% required in 80% · 5 open now · since Jan 2026
AWQ 2 9% required in 50% · 1 open now · since Apr 2026
GPTQ 1 4% required in 100% · 1 open now · since Oct 2026
Gemma 1 4% required in 100% · 1 open now · since Oct 2026
LoRA 1 4% required in 100% · 1 open now · since Oct 2026
PEFT 1 4% required in 100% · 1 open now · since Oct 2026
QLoRA 1 4% required in 100% · 1 open now · since Oct 2026
Qwen 1 4% required in 100% · 1 open now · since Oct 2026
Show all (9)
VLM1

Which engineering practices does Liquid AI ask for?

Fine-tuning is named in 43% of job postings at Liquid AI, followed by Edge AI (39%), Post-training (35%), Multimodal AI (30%).

Fine-tuning 10 43% required in 100% · 6 open now · since Jan 2026
Edge AI 9 39% required in 78% · 5 open now · since Jan 2026
Post-training 8 35% required in 100% · 7 open now · since Jul 2025
Multimodal AI 7 30% required in 100% · 6 open now · since Jul 2025
Machine Learning 5 22% required in 100% · 3 open now · since Dec 2025
SFT 5 22% required in 100% · 4 open now · since Jul 2025
Quantization 5 22% required in 60% · 3 open now · since Jan 2026
Synthetic Data 4 17% required in 75% · 3 open now · since Jul 2025
Show all (32)
Function Calling3
Knowledge Distillation3
Model Distillation3
Reinforcement Learning3
Computer Vision2
Text-to-Speech2
Speech Recognition2
A/B Testing1
AI Agents1
Agentic Workflows1
Computer Use1
DPO1
Design Controls1
EU AI Act1
Mixture of Experts1
OCR1
Physical AI1
Pre-training1
RLHF1
Recommender Systems1
Structured Outputs1
Tokenization1
HPC1
Reward Modeling1

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

17 postings
PyTorch5
Python4
C++2
LLM2
ONNX Runtime2
llama.cpp2

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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.

First appeared
ONNXAug 2026
Knowledge DistillationJul 2026
Model DistillationJul 2026
ONNX RuntimeJul 2026
MLX MLJul 2026
Not named for 6 months
TensorRTApr 2026
Text-to-SpeechMar 2026
Speech RecognitionMar 2026

How modern is the Liquid AI stack?

Cutting-edge AI adopter 79/100

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: 9; legacy ones: 0.

How common is the Liquid AI stack in its industry?

Share of the 266 companies in the same industries, whose stack Alion knows, that use each technology.

PyTorch64%
LLM58%
ONNX Runtime6%
Python81%
vLLM29%
MLX ML2%
AWQ3%
C++53%
Hugging Face18%
SGLang19%

What sets Liquid AI apart

MLX ML2%

Questions about the Liquid AI tech stack

What programming languages does Liquid AI use?

The languages named in Liquid AI job postings are Python (17%), C++ (9%), Rust (4%), as a share of the 23 postings of the last 12 months.

Does Liquid AI use PyTorch?

Yes. PyTorch is named in 6 of 23 job postings (26%) and required in 6 of them.

What cloud and platforms does Liquid AI use?

The cloud and platforms named in Liquid AI job postings are vLLM (4), 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 (5), Python (4), C++ (2), LLM (2), out of 17 postings in the last 12 months.

Is the Liquid AI tech stack changing?

Yes. ONNX, Knowledge Distillation, Model Distillation, 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: 9; 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 23 postings of the last 12 months and were updated on Nov 14, 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: 74 technologies from 23 job postings", as of Nov 14, 2026. https://alion.io/company/liquid-ai/technologies

Licence: CC BY-SA 4.0JSON