ZenteiQ tech stack
ZenteiQ builds mostly with Python, JavaScript, C++, SQL. Its stack also includes Kubernetes, GCP, PyTorch, Ray. Python is named in 14 of the 19 job postings ZenteiQ published in the last 12 months (74%). Counted by Alion from the job postings of ZenteiQ, updated Nov 13, 2026.
What programming languages does ZenteiQ use?
Python is named in 74% of job postings at ZenteiQ, followed by JavaScript (21%), C++ (21%), SQL (16%).
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What frameworks and libraries does ZenteiQ use?
PyTorch is named in 32% of job postings at ZenteiQ, followed by Ray (32%), FastAPI (26%), React.js (21%).
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What databases does ZenteiQ use?
Redis is named in 26% of job postings at ZenteiQ, followed by PostgreSQL (21%), Firestore (11%).
What cloud and platforms does ZenteiQ use?
Kubernetes is named in 42% of job postings at ZenteiQ, followed by GCP (37%), Google GKE (26%), Apache Kafka (21%).
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What developer tools does ZenteiQ use?
TPU is named in 37% of job postings at ZenteiQ, followed by Docker (32%), Rest API (26%), Git (21%).
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What AI and ML technologies does ZenteiQ use?
LLM is named in 42% of job postings at ZenteiQ.
Which engineering practices does ZenteiQ ask for?
CI/CD is named in 26% of job postings at ZenteiQ, followed by HPC (21%), AI Agents (11%), ETL/ELT (11%).
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What does each ZenteiQ team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
10 postingsBackend
3 postingsHow does your stack fit ZenteiQ?
How modern is the ZenteiQ stack?
ZenteiQ scores 71 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the ZenteiQ stack in its industry?
Share of the 975 companies in the same industries, whose stack Alion knows, that use each technology.
What sets ZenteiQ apart
Companies with a stack like ZenteiQ
Questions about the ZenteiQ tech stack
What programming languages does ZenteiQ use?
The languages named in ZenteiQ job postings are Python (74%), JavaScript (21%), C++ (21%), SQL (16%), Rust (16%), as a share of the 19 postings of the last 12 months.
Does ZenteiQ use PyTorch?
Yes. PyTorch is named in 6 of 19 job postings (32%) and required in 5 of them.
What cloud and platforms does ZenteiQ use?
The cloud and platforms named in ZenteiQ job postings are Kubernetes (8), GCP (7), Google GKE (5) (postings in brackets).
What skills do you need for a AI/ML job at ZenteiQ?
AI/ML postings at ZenteiQ most often require Python (9), PyTorch (5), TPU (5), Linux (4), out of 10 postings in the last 12 months.
Is the ZenteiQ tech stack changing?
No new technology has appeared in ZenteiQ job postings in the last six months.
How modern is the ZenteiQ tech stack?
ZenteiQ scores 71 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the ZenteiQ tech stack?
Alion reads every job posting ZenteiQ publishes and tags the technologies each one names. The figures on this page count the 19 postings of the last 12 months and were updated on Nov 13, 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, "ZenteiQ tech stack: 129 technologies from 19 job postings", as of Nov 13, 2026. https://alion.io/company/zenteiq-ai/technologies
