UST tech stack
UST builds mostly with Python, Java, SQL, C#. Its stack also includes AWS, Azure, PyTorch, Scikit-learn. AWS is named in 8 of the 14 job postings UST published in the last 12 months (57%). Counted by Alion from the job postings of UST, updated Sep 29, 2026.
What programming languages does UST use?
Python is named in 50% of job postings at UST, followed by Java (21%), SQL (21%), C# (7%).
What frameworks and libraries does UST use?
PyTorch is named in 29% of job postings at UST, followed by Scikit-learn (29%), TensorFlow (29%), LangChain (21%).
PyTorch
4 29%
Scikit-learn
4 29%
TensorFlow
4 29%
LangChain
3 21%
LlamaIndex
3 21%
FAISS
2 14%
Selenium
2 14%
Appium
1 7%
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What databases does UST use?
Pinecone is named in 14% of job postings at UST, followed by Amazon Aurora (7%), Amazon Redshift (7%), BigQuery (7%).
Pinecone
2 14%
Amazon Aurora
1 7%
Amazon Redshift
1 7%
BigQuery
1 7%
Chroma
1 7%
DynamoDB
1 7%
Google BigQuery
1 7%
OpenSearch
1 7%
Show all (9)
What cloud and platforms does UST use?
AWS is named in 57% of job postings at UST, followed by Azure (50%), GCP (43%), Kubernetes (29%).
AWS
8 57%
Azure
7 50%
GCP
6 43%
Kubernetes
4 29%
AWS Lambda
2 14%
Databricks
2 14%
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What developer tools does UST use?
Rest API is named in 50% of job postings at UST, followed by Docker (36%), CloudFormation (14%), Git (14%).
Rest API
7 50%
Docker
5 36%
CloudFormation
2 14%
Git
2 14%
Terraform
2 14%
AWS CDK
1 7%
JMeter
1 7%
Jenkins
1 7%
Show all (10)
What AI and ML technologies does UST use?
LLM is named in 21% of job postings at UST, followed by BERT (7%), Claude (7%), Gemini (7%).
Which engineering practices does UST ask for?
CI/CD is named in 57% of job postings at UST, followed by NLP (36%), AI Agents (36%), Machine Learning (29%).
CI/CD
8 57%
NLP
5 36%
AI Agents
5 36%
RAG
4 29%
Prompt Engineering
3 21%
Fine-tuning
2 14%
Show all (19)
What does each UST team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
5 postingsHow does your stack fit UST?
How modern is the UST stack?
UST scores 85 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: 4; legacy ones: 0.
Companies with a stack like UST
Questions about the UST tech stack
What programming languages does UST use?
The languages named in UST job postings are Python (50%), Java (21%), SQL (21%), C# (7%), HLSL (7%), as a share of the 14 postings of the last 12 months.
Does UST use PyTorch?
Yes. PyTorch is named in 4 of 14 job postings (29%) and required in 4 of them.
What cloud and platforms does UST use?
The cloud and platforms named in UST job postings are AWS (8), Azure (7), GCP (6) (postings in brackets).
What skills do you need for a AI/ML job at UST?
AI/ML postings at UST most often require AWS (4), Azure (4), GCP (4), PyTorch (4), out of 5 postings in the last 12 months.
Is the UST tech stack changing?
No new technology has appeared in UST job postings in the last six months.
How modern is the UST tech stack?
UST scores 85 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: 4; legacy ones: 0.
How does Alion know the UST tech stack?
Alion reads every job posting UST publishes and tags the technologies each one names. The figures on this page count the 14 postings of the last 12 months and were updated on Sep 29, 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, "UST tech stack: 88 technologies from 14 job postings", as of Sep 29, 2026. https://alion.io/company/ust-com/technologies