ZenteiQ tech stack

ZenteiQ builds mostly with Python, JavaScript, C++, Rust. Its stack also includes Kubernetes, GCP, PyTorch, Ray. Python is named in 12 of the 15 job postings ZenteiQ published in the last 12 months (80%). Counted by Alion from the job postings of ZenteiQ, updated Sep 28, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 28, 2026
Technologies in use
114
Postings analysed
15
Open now
9
Modernity
73 /100

What programming languages does ZenteiQ use?

Python is named in 80% of job postings at ZenteiQ, followed by JavaScript (27%), C++ (27%), Rust (20%).

Python 12 80% required in 100% · 7 open now · since Jul 2026
JavaScript 4 27% required in 75% · 3 open now · since Jul 2026
C++ 4 27% required in 25% · 4 open now · since Aug 2026
Rust 3 20% optional · 2 open now · since Aug 2026
Go 2 13% required in 100% · since Jul 2026
Kotlin 2 13% required in 100% · 2 open now · since Aug 2026
Objective-C 2 13% required in 100% · 2 open now · since Aug 2026
Swift 2 13% required in 100% · 2 open now · since Aug 2026
Show all (12)
TypeScript2
Dart2
SQL2
Java1

What frameworks and libraries does ZenteiQ use?

PyTorch is named in 33% of job postings at ZenteiQ, followed by Ray (33%), React.js (27%), FastAPI (27%).

PyTorch 5 33% required in 80% · 3 open now · since Jul 2026
Ray 5 33% required in 40% · 4 open now · since Aug 2026
React.js 4 27% required in 75% · 3 open now · since Jul 2026
FastAPI 4 27% required in 50% · 2 open now · since Jul 2026
Pydantic 3 20% required in 33% · 1 open now · since Jul 2026
JAX 3 20% optional · 3 open now · since Aug 2026
Beautiful Soup 2 13% required in 100% · 1 open now · since Aug 2026
Celery 2 13% required in 100% · since Jul 2026
Show all (39)
Dask2
Flutter2
Kotlin Multiplatform2
NCCL2
Next.js2
React Native2
Jest2
PyTorch C++2
XLA2
NVIDIA NeMo2
OpenTelemetry2
CUDA1
Django1
Flask1
Pytest1
SGLang1
TensorRT-LLM1
Chakra UI1
DeepSpeed1
FSDP1
Formik1
LangChain1
LangGraph1
LiteRT1
React Hook Form1
Redux1
TensorFlow1
TensorFlow C++1
Triton1
Zustand1
hls.js1

What databases does ZenteiQ use?

Redis is named in 27% of job postings at ZenteiQ, followed by PostgreSQL (20%), Firestore (13%).

Redis 4 27% required in 75% · 2 open now · since Jul 2026
PostgreSQL 3 20% required in 100% · 1 open now · since Jul 2026
Firestore 2 13% optional · since Jul 2026

What cloud and platforms does ZenteiQ use?

Kubernetes is named in 47% of job postings at ZenteiQ, followed by GCP (40%), Google GKE (27%), Linux (27%).

Kubernetes 7 47% required in 86% · 5 open now · since Jul 2026
GCP 6 40% required in 67% · 3 open now · since Jul 2026
Google GKE 4 27% required in 100% · 2 open now · since Jul 2026
Linux 4 27% required in 100% · 2 open now · since Jul 2026
Apache Kafka 3 20% required in 100% · 1 open now · since Jul 2026
CUDA Toolkit 3 20% required in 100% · 2 open now · since Jul 2026
Spark 3 20% required in 100% · 1 open now · since Jul 2026
Firebase 2 13% required in 100% · 2 open now · since Aug 2026
Show all (20)
Grafana2
Hugging Face2
Figma1
SonarQube1
vLLM1
GitHub1
GitHub Actions1
MLFlow1
Prefect1
Vercel1
Vertex AI1
Weights & Biases1

What developer tools does ZenteiQ use?

TPU is named in 40% of job postings at ZenteiQ, followed by Docker (33%), Rest API (27%), Git (27%).

TPU 6 40% required in 83% · 4 open now · since Jul 2026
Docker 5 33% required in 60% · 4 open now · since Jul 2026
Rest API 4 27% required in 100% · 1 open now · since Jul 2026
Git 4 27% required in 75% · 3 open now · since Jul 2026
Prometheus 3 20% required in 33% · 1 open now · since Jul 2026
Swagger 2 13% required in 50% · 1 open now · since Jul 2026
GraphQL 2 13% optional · since Jul 2026
InfiniBand 2 13% optional · 2 open now · since Aug 2026
Show all (15)
Jaeger2
Loki2
SLURM2
TensorBoard2
Lighthouse1
Terraform1
pySpark1

What AI and ML technologies does ZenteiQ use?

LLM is named in 40% of job postings at ZenteiQ.

LLM 6 40% required in 50% · 5 open now · since Aug 2026

Which engineering practices does ZenteiQ ask for?

Platform Engineering is named in 20% of job postings at ZenteiQ, followed by CI/CD (20%), HPC (20%), AI Agents (13%).

Platform Engineering 3 20% required in 100% · since Jul 2026
CI/CD 3 20% required in 67% · 2 open now · since Jul 2026
HPC 3 20% required in 67% · 2 open now · since Jul 2026
AI Agents 2 13% required in 100% · 2 open now · since Aug 2026
ETL/ELT 2 13% required in 100% · 1 open now · since Aug 2026
Fine-tuning 2 13% required in 100% · since Jul 2026
Machine Learning 2 13% required in 100% · since Jul 2026
NLP 2 13% required in 100% · since Jul 2026
Show all (24)
Offline-First2
RAG2
RLHF2
Embeddings2
Edge AI2
Synthetic Data2
Computer Vision1
Function Calling1
Tool Use1
Agentic Workflows1
DPO1
KV Cache1
Knowledge Graph1
Reranking1
Speculative Decoding1
Structured Outputs1

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

9 postings
Python9
TPU5
Linux4
PyTorch4
CUDA Toolkit3
Kubernetes3

See the open roles

How does your stack fit ZenteiQ?

Sign in to compare your skills with this stack and see which open roles fit you.
Sign In

How modern is the ZenteiQ stack?

Modern AI adopter 73/100

ZenteiQ scores 73 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 296 companies in the same industries, whose stack Alion knows, that use each technology.

Python73%
Kubernetes39%
GCP36%
LLM33%
PyTorch30%
Ray8%
C++28%
FastAPI16%
Google GKE3%
JavaScript48%

What sets ZenteiQ apart

Google GKE3%
Pydantic3%

Questions about the ZenteiQ tech stack

What programming languages does ZenteiQ use?

The languages named in ZenteiQ job postings are Python (80%), JavaScript (27%), C++ (27%), Rust (20%), Go (13%), as a share of the 15 postings of the last 12 months.

Does ZenteiQ use PyTorch?

Yes. PyTorch is named in 5 of 15 job postings (33%) and required in 4 of them.

What cloud and platforms does ZenteiQ use?

The cloud and platforms named in ZenteiQ job postings are Kubernetes (7), GCP (6), Google GKE (4) (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), TPU (5), Linux (4), PyTorch (4), out of 9 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 73 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 15 postings of the last 12 months and were updated on Sep 28, 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: 114 technologies from 15 job postings", as of Sep 28, 2026. https://alion.io/company/zenteiq-ai/technologies

Licence: CC BY-SA 4.0JSON