Rad AI tech stack

Rad AI builds mostly with Python, SQL, TypeScript, Bash. Its stack also includes AWS, Grafana, PostgreSQL, Ray. Python is named in 9 of the 24 job postings Rad AI published in the last 12 months (38%). Counted by Alion from the job postings of Rad AI, updated Oct 15, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 15, 2026
Technologies in use
63
Postings analysed
24
Open now
18
Modernity
79 /100
New in 6 months
8

What programming languages does Rad AI use?

Python is named in 38% of job postings at Rad AI, followed by SQL (8%), TypeScript (8%), Bash (4%).

Python 9 38% required in 100% · 6 open now · since Apr 2026
SQL 2 8% required in 100% · 2 open now · since Jul 2026
TypeScript 2 8% required in 100% · 2 open now · since Apr 2026
Bash 1 4% required in 100% · since Sep 2026
JavaScript 1 4% required in 100% · 1 open now · since Apr 2026

What frameworks and libraries does Rad AI use?

Ray is named in 17% of job postings at Rad AI, followed by FastAPI (13%), PyTorch (13%), OpenTelemetry (13%).

Ray 4 17% optional · 2 open now · since Oct 2025
FastAPI 3 13% required in 67% · 3 open now · since Jul 2026
PyTorch 3 13% required in 67% · 3 open now · since Oct 2025
OpenTelemetry 3 13% optional · since Jun 2026
React.js 1 4% required in 100% · 1 open now · since Apr 2026
Hadoop 1 4% optional · since Sep 2026
SQLAlchemy 1 4% optional · 1 open now · since Oct 2026
Triton 1 4% optional · 1 open now · since Oct 2025

What databases does Rad AI use?

PostgreSQL is named in 17% of job postings at Rad AI, followed by DynamoDB (4%), ElasticSearch (4%).

PostgreSQL 4 17% required in 25% · 4 open now · since Jul 2026
DynamoDB 1 4% required in 100% · 1 open now · since Aug 2026
ElasticSearch 1 4% required in 100% · 1 open now · since Aug 2026

What cloud and platforms does Rad AI use?

AWS is named in 17% of job postings at Rad AI, followed by Grafana (17%), AWS Lambda (13%), Amazon EC2 (13%).

AWS 4 17% required in 100% · 1 open now · since Jun 2026
Grafana 4 17% required in 25% · 1 open now · since Jun 2026
AWS Lambda 3 13% required in 100% · since Jun 2026
Amazon EC2 3 13% required in 100% · since Jun 2026
GCP 3 13% required in 100% · since Jun 2026
Kubernetes 3 13% required in 100% · since Jun 2026
Linux 3 13% required in 100% · since Jun 2026
Auth0 3 13% optional · 3 open now · since Jul 2026
Show all (19)
Spark2
Amazon CloudWatch2
New Relic2
Airflow1
ClearML1
Looker1
Postman1
Sentry1
Tableau1
Databricks1
MLFlow1

What developer tools does Rad AI use?

Terraform is named in 21% of job postings at Rad AI, followed by Pulumi (13%), Rest API (13%), Docker (8%).

Terraform 5 21% required in 80% · 2 open now · since Jun 2026
Pulumi 3 13% required in 100% · since Jun 2026
Rest API 3 13% required in 100% · 3 open now · since Jul 2026
Docker 2 8% required in 100% · since Jun 2026
Git 2 8% required in 100% · since Jun 2026
AWS Glue 1 4% required in 100% · 1 open now · since Aug 2026
Microsoft Excel 1 4% required in 100% · 1 open now · since Aug 2026
WebSockets 1 4% required in 100% · 1 open now · since Oct 2026
Show all (9)
Claude Code1

What AI and ML technologies does Rad AI use?

LLM is named in 8% of job postings at Rad AI, followed by Claude (4%).

LLM 2 8% required in 50% · 2 open now · since Jul 2026
Claude 1 4% required in 100% · 1 open now · since Aug 2026

Which engineering practices does Rad AI ask for?

Edge AI is named in 100% of job postings at Rad AI, followed by Machine Learning (33%), Platform Engineering (17%), NLP (17%).

Edge AI 24 100% required in 100% · 18 open now · since Oct 2025
Machine Learning 8 33% required in 63% · 7 open now · since Oct 2025
Platform Engineering 4 17% required in 100% · 1 open now · since Jun 2026
NLP 4 17% required in 75% · 4 open now · since Oct 2025
Speech Recognition 3 13% required in 67% · 3 open now · since Sep 2026
CI/CD 2 8% required in 100% · since Jun 2026
Computer Vision 2 8% required in 100% · 2 open now · since Oct 2025
Multimodal AI 2 8% required in 100% · 2 open now · since Oct 2025
Show all (17)
Contrastive Learning1
Fine-tuning1
Hallucination1
SLI/SLO/SLA1
Self-Supervised Learning1
VPN1
GRPO1
RAG1
RLHF1

What does each Rad AI team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Backend

7 postings
Python6
AWS3
AWS Lambda3
Amazon EC23
GCP3
Kubernetes3

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How is the Rad 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.

First appeared
Speech RecognitionSep 2026
SparkAug 2026
PostgreSQLJul 2026
FastAPIJul 2026
Auth0Jul 2026
LLMJul 2026
Rest APIJul 2026
SQLJul 2026

How modern is the Rad AI stack?

Cutting-edge AI adopter 79/100

Rad AI scores 79 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 Rad AI stack in its industry?

Share of the 641 companies in the same industries, whose stack Alion knows, that use each technology.

Python65%
AWS51%
Grafana18%
PostgreSQL35%
Ray8%
AWS Lambda10%
Amazon EC27%
Auth01%
FastAPI17%
GCP39%

What sets Rad AI apart

Auth01%

Questions about the Rad AI tech stack

What programming languages does Rad AI use?

The languages named in Rad AI job postings are Python (38%), SQL (8%), TypeScript (8%), Bash (4%), JavaScript (4%), as a share of the 24 postings of the last 12 months.

Does Rad AI use FastAPI?

Yes. FastAPI is named in 3 of 24 job postings (13%) and required in 2 of them.

What cloud and platforms does Rad AI use?

The cloud and platforms named in Rad AI job postings are AWS (4), Grafana (4), AWS Lambda (3) (postings in brackets).

What skills do you need for a Backend job at Rad AI?

Backend postings at Rad AI most often require Python (6), AWS (3), AWS Lambda (3), Amazon EC2 (3), out of 7 postings in the last 12 months.

Is the Rad AI tech stack changing?

Yes. Speech Recognition, Spark, PostgreSQL, FastAPI first appeared in Rad AI job postings in the last six months.

How modern is the Rad AI tech stack?

Rad AI scores 79 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 Rad AI tech stack?

Alion reads every job posting Rad AI publishes and tags the technologies each one names. The figures on this page count the 24 postings of the last 12 months and were updated on Oct 15, 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, "Rad AI tech stack: 63 technologies from 24 job postings", as of Oct 15, 2026. https://alion.io/company/rad-ai/technologies

Licence: CC BY-SA 4.0JSON