QED.ai tech stack
QED.ai builds mostly with Python, SQL, PHP, Kotlin. Its stack also includes Kubernetes, Unix, Django, PyTorch. Python is named in 9 of the 20 job postings QED.ai published in the last 12 months (45%). Counted by Alion from the job postings of QED.ai, updated Oct 17, 2026.
What programming languages does QED.ai use?
Python is named in 45% of job postings at QED.ai, followed by SQL (10%), PHP (5%), Kotlin (5%).
What frameworks and libraries does QED.ai use?
Django is named in 35% of job postings at QED.ai, followed by PyTorch (20%), Dagster (15%), Instructor (10%).
What databases does QED.ai use?
ClickHouse is named in 15% of job postings at QED.ai.
ClickHouse
3 15%
What cloud and platforms does QED.ai use?
Kubernetes is named in 35% of job postings at QED.ai, followed by Unix (35%), Linux (20%), K3s (10%).
What developer tools does QED.ai use?
Terraform is named in 30% of job postings at QED.ai, followed by Docker (15%), Microsoft Excel (10%), Git (5%).
What AI and ML technologies does QED.ai use?
ChatGPT is named in 10% of job postings at QED.ai, followed by Claude (10%).
Which engineering practices does QED.ai ask for?
Dimensional Modeling is named in 15% of job postings at QED.ai, followed by ETL/ELT (15%), CI/CD (5%), Machine Learning (5%).
CI/CD
1 5%
Computer Vision
1 5%
HPC
1 5%
What other technologies does QED.ai use?
Kotlin Coroutines is named in 5% of job postings at QED.ai.
Kotlin Coroutines
1 5%
What does each QED.ai team work with?
The technologies each team's postings require most often, with the number of postings that require them.
DevOps
3 postingsHow does your stack fit QED.ai?
How is the QED.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 QED.ai stack?
QED.ai scores 81 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: 2; legacy ones: 0.
How common is the QED.ai stack in its industry?
Share of the 1,040 companies in the same industries, whose stack Alion knows, that use each technology.
What sets QED.ai apart
Companies with a stack like QED.ai
Questions about the QED.ai tech stack
What programming languages does QED.ai use?
The languages named in QED.ai job postings are Python (45%), SQL (10%), PHP (5%), Kotlin (5%), as a share of the 20 postings of the last 12 months.
Does QED.ai use Instructor?
Yes. Instructor is named in 2 of 20 job postings (10%) and required in 2 of them.
What cloud and platforms does QED.ai use?
The cloud and platforms named in QED.ai job postings are Kubernetes (7), Unix (7), Linux (4) (postings in brackets).
What skills do you need for a DevOps job at QED.ai?
DevOps postings at QED.ai most often require K3s (2), NixOS (2), Terraform (2), out of 3 postings in the last 12 months.
Is the QED.ai tech stack changing?
Yes. ChatGPT, Claude, Instructor first appeared in QED.ai job postings in the last six months.
How modern is the QED.ai tech stack?
QED.ai scores 81 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: 2; legacy ones: 0.
How does Alion know the QED.ai tech stack?
Alion reads every job posting QED.ai publishes and tags the technologies each one names. The figures on this page count the 20 postings of the last 12 months and were updated on Oct 17, 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, "QED.ai tech stack: 32 technologies from 20 job postings", as of Oct 17, 2026. https://alion.io/company/qed-ai/technologies