Retail AI tech stack

Retail AI builds mostly with Kotlin, Java, Go, Node JS. Its stack also includes GCP, Kubernetes, ElasticSearch, PostgreSQL. GCP is named in 5 of the 13 job postings Retail AI published in the last 12 months (38%). Counted by Alion from the job postings of Retail AI, updated Oct 17, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 17, 2026
Technologies in use
37
Postings analysed
13
Open now
10
Modernity
91 /100

What programming languages does Retail AI use?

Kotlin is named in 23% of job postings at Retail AI, followed by Java (15%), Go (15%), Node JS (8%).

Kotlin 3 23% required in 100% · 2 open now · since Oct 2026
Java 2 15% required in 100% · 2 open now · since Oct 2026
Go 2 15% required in 50% · 1 open now · since Aug 2026
Node JS 1 8% required in 100% · since Oct 2026
Python 1 8% required in 100% · 1 open now · since Oct 2026
Swift 1 8% required in 100% · since Oct 2026
JavaScript 1 8% optional · since Oct 2026
SQL 1 8% optional · 1 open now · since Oct 2026
Show all (9)
TypeScript1

What frameworks and libraries does Retail AI use?

Kotlin Multiplatform is named in 8% of job postings at Retail AI, followed by Next.js (8%), PoC Library (8%), React.js (8%).

Kotlin Multiplatform 1 8% required in 100% · since Oct 2026
Next.js 1 8% required in 100% · since Oct 2026
PoC Library 1 8% required in 100% · 1 open now · since Sep 2026
React.js 1 8% required in 100% · since Oct 2026

What databases does Retail AI use?

ElasticSearch is named in 8% of job postings at Retail AI, followed by PostgreSQL (8%).

ElasticSearch 1 8% required in 100% · 1 open now · since Oct 2026
PostgreSQL 1 8% required in 100% · 1 open now · since Oct 2026

What cloud and platforms does Retail AI use?

GCP is named in 38% of job postings at Retail AI, followed by Kubernetes (23%), AWS (23%), Active Directory (15%).

GCP 5 38% required in 100% · 3 open now · since Oct 2026
Kubernetes 3 23% required in 100% · 3 open now · since Oct 2026
AWS 3 23% required in 67% · 3 open now · since Oct 2026
Active Directory 2 15% required in 100% · 2 open now · since Oct 2026
Microsoft Entra ID 2 15% required in 100% · 2 open now · since Oct 2026
Windows 2 15% required in 100% · 2 open now · since Oct 2026
Azure 1 8% required in 100% · 1 open now · since Oct 2026
Figma 1 8% required in 100% · 1 open now · since Oct 2026
Show all (10)
Grafana1
Istio1

What developer tools does Retail AI use?

Terraform is named in 23% of job postings at Retail AI, followed by Copilot (15%), Helm (15%), Ansible (8%).

Terraform 3 23% required in 100% · 3 open now · since Oct 2026
Copilot 2 15% required in 100% · 2 open now · since Oct 2026
Helm 2 15% required in 100% · 2 open now · since Oct 2026
Ansible 1 8% required in 100% · 1 open now · since Oct 2026
ArgoCD 1 8% required in 100% · 1 open now · since Oct 2026
CloudFormation 1 8% required in 100% · 1 open now · since Oct 2026
Envoy 1 8% required in 100% · 1 open now · since Oct 2026
Prometheus 1 8% required in 100% · 1 open now · since Oct 2026

What AI and ML technologies does Retail AI use?

Claude is named in 23% of job postings at Retail AI, followed by Gemini (15%), ChatGPT (8%).

Claude 3 23% required in 67% · 3 open now · since Oct 2026
Gemini 2 15% required in 100% · 2 open now · since Oct 2026
ChatGPT 1 8% optional · 1 open now · since Oct 2026

Which engineering practices does Retail AI ask for?

SLI/SLO/SLA is named in 8% of job postings at Retail AI.

SLI/SLO/SLA 1 8% required in 100% · 1 open now · since Aug 2026

What does each Retail AI team work with?

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

DevOps

4 postings
Active Directory2
Claude2
Copilot2
Gemini2
Microsoft Entra ID2
Terraform2

Backend

3 postings
GCP3
AWS2
Kubernetes2

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How modern is the Retail AI stack?

Cutting-edge AI adopter 91/100

Retail AI scores 91 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 Retail AI stack in its industry?

Share of the 113 companies in the same industries, whose stack Alion knows, that use each technology.

GCP25%
AWS33%
Claude31%
Kotlin7%
Kubernetes21%
Active Directory5%
Gemini7%
Go8%
Java18%
Microsoft Entra ID4%

Questions about the Retail AI tech stack

What programming languages does Retail AI use?

The languages named in Retail AI job postings are Kotlin (23%), Java (15%), Go (15%), Node JS (8%), Python (8%), as a share of the 13 postings of the last 12 months.

Does Retail AI use GCP?

Yes. GCP is named in 5 of 13 job postings (38%) and required in 5 of them.

What cloud and platforms does Retail AI use?

The cloud and platforms named in Retail AI job postings are GCP (5), Kubernetes (3), AWS (3) (postings in brackets).

What skills do you need for a DevOps job at Retail AI?

DevOps postings at Retail AI most often require Active Directory (2), Claude (2), Copilot (2), Gemini (2), out of 4 postings in the last 12 months.

Is the Retail AI tech stack changing?

No new technology has appeared in Retail AI job postings in the last six months.

How modern is the Retail AI tech stack?

Retail AI scores 91 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 Retail AI tech stack?

Alion reads every job posting Retail AI publishes and tags the technologies each one names. The figures on this page count the 13 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, "Retail AI tech stack: 37 technologies from 13 job postings", as of Oct 17, 2026. https://alion.io/company/retail-ai-2/technologies

Licence: CC BY-SA 4.0JSON