Thinking Machines tech stack
Thinking Machines builds mostly with Python, SQL, JavaScript. Its stack also includes AWS, GCP, PostgreSQL, BigQuery. AWS is named in 4 of the 5 job postings Thinking Machines published in the last 12 months (80%). Counted by Alion from the job postings of Thinking Machines, updated Oct 16, 2026.
What programming languages does Thinking Machines use?
Python is named in 60% of job postings at Thinking Machines, followed by SQL (40%), JavaScript (20%).
What frameworks and libraries does Thinking Machines use?
TensorFlow is named in 20% of job postings at Thinking Machines, followed by Dagster (20%), Django (20%), FastAPI (20%).
TensorFlow
1 20%
Dagster
1 20%
Django
1 20%
FastAPI
1 20%
Flask
1 20%
LangChain
1 20%
React.js
1 20%
Transformers
1 20%
What databases does Thinking Machines use?
PostgreSQL is named in 40% of job postings at Thinking Machines, followed by BigQuery (20%), Google BigQuery (20%), Snowflake (20%).
BigQuery 
What cloud and platforms does Thinking Machines use?
AWS is named in 80% of job postings at Thinking Machines, followed by GCP (60%), Azure (60%), Databricks (40%).
What developer tools does Thinking Machines use?
dbt is named in 20% of job postings at Thinking Machines, followed by Azure Data Factory (20%).
dbt
1 20%
What AI and ML technologies does Thinking Machines use?
ChatGPT is named in 20% of job postings at Thinking Machines, followed by Claude (20%), LLM (20%).
Which engineering practices does Thinking Machines ask for?
Machine Learning is named in 40% of job postings at Thinking Machines, followed by AI Agents (20%), ETL/ELT (20%), Fine-tuning (20%).
AI Agents
1 20%
Fine-tuning
1 20%
Prompt Engineering
1 20%
Trunk-Based Development
1 20%
How does your stack fit Thinking Machines?
How modern is the Thinking Machines stack?
Thinking Machines scores 93 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: 3; legacy ones: 0.
How common is the Thinking Machines stack in its industry?
Share of the 315 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Thinking Machines
Questions about the Thinking Machines tech stack
What programming languages does Thinking Machines use?
The languages named in Thinking Machines job postings are Python (60%), SQL (40%), JavaScript (20%), as a share of the 5 postings of the last 12 months.
Does Thinking Machines use AWS?
Yes. AWS is named in 4 of 5 job postings (80%) and required in 3 of them.
What cloud and platforms does Thinking Machines use?
The cloud and platforms named in Thinking Machines job postings are AWS (4), GCP (3), Azure (3) (postings in brackets).
Is the Thinking Machines tech stack changing?
No new technology has appeared in Thinking Machines job postings in the last six months.
How modern is the Thinking Machines tech stack?
Thinking Machines scores 93 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: 3; legacy ones: 0.
How does Alion know the Thinking Machines tech stack?
Alion reads every job posting Thinking Machines publishes and tags the technologies each one names. The figures on this page count the 5 postings of the last 12 months and were updated on Oct 16, 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, "Thinking Machines tech stack: 35 technologies from 5 job postings", as of Oct 16, 2026. https://alion.io/company/thinking-machines/technologies