RapidAI tech stack
RapidAI builds mostly with Python, Go, Rust, TypeScript. Its stack also includes AWS, Kubernetes, Amazon Redshift, DynamoDB. AWS is named in 4 of the 5 job postings RapidAI published in the last 12 months (80%). Counted by Alion from the job postings of RapidAI, updated Oct 17, 2026.
What programming languages does RapidAI use?
Python is named in 40% of job postings at RapidAI, followed by Go (20%), Rust (20%), TypeScript (20%).
What databases does RapidAI use?
Amazon Redshift is named in 20% of job postings at RapidAI, followed by DynamoDB (20%).
Amazon Redshift
1 20%
DynamoDB
1 20%
What cloud and platforms does RapidAI use?
AWS is named in 80% of job postings at RapidAI, followed by Kubernetes (40%), AWS Lambda (20%), Amazon EC2 (20%).
AWS
4 80%
Kubernetes
2 40%
AWS Lambda
1 20%
Amazon EC2
1 20%
Azure
1 20%
Figma
1 20%
GCP
1 20%
Show all (10)
What developer tools does RapidAI use?
Docker is named in 20% of job postings at RapidAI, followed by Git (20%).
Which engineering practices does RapidAI ask for?
CI/CD is named in 20% of job postings at RapidAI, followed by Computer Vision (20%), ETL/ELT (20%), Machine Learning (20%).
What does each RapidAI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
3 postingsHow does your stack fit RapidAI?
How modern is the RapidAI stack?
RapidAI scores 76 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: 0; legacy ones: 0.
How common is the RapidAI stack in its industry?
Share of the 422 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like RapidAI
Questions about the RapidAI tech stack
What programming languages does RapidAI use?
The languages named in RapidAI job postings are Python (40%), Go (20%), Rust (20%), TypeScript (20%), as a share of the 5 postings of the last 12 months.
Does RapidAI use AWS?
Yes. AWS is named in 4 of 5 job postings (80%) and required in 4 of them.
What cloud and platforms does RapidAI use?
The cloud and platforms named in RapidAI job postings are AWS (4), Kubernetes (2), AWS Lambda (1) (postings in brackets).
What skills do you need for a Backend job at RapidAI?
Backend postings at RapidAI most often require AWS (3), Kubernetes (2), Python (2), out of 3 postings in the last 12 months.
Is the RapidAI tech stack changing?
No new technology has appeared in RapidAI job postings in the last six months.
How modern is the RapidAI tech stack?
RapidAI scores 76 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: 0; legacy ones: 0.
How does Alion know the RapidAI tech stack?
Alion reads every job posting RapidAI 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 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, "RapidAI tech stack: 22 technologies from 5 job postings", as of Oct 17, 2026. https://alion.io/company/rapidai/technologies