Worth AI tech stack
Worth AI builds mostly with Python, JavaScript, Node JS, TypeScript. Its stack also includes AWS, Apache Kafka, PostgreSQL, Redis. AWS is named in 18 of the 20 job postings Worth AI published in the last 12 months (90%). Counted by Alion from the job postings of Worth AI, updated Sep 27, 2026.
What programming languages does Worth AI use?
Python is named in 85% of job postings at Worth AI, followed by JavaScript (70%), Node JS (55%), TypeScript (55%).
What frameworks and libraries does Worth AI use?
React.js is named in 40% of job postings at Worth AI, followed by Nest.JS (30%), Flink (15%), AutoGen (10%).
React.js
8 40%
Nest.JS
6 30%
Flink
3 15%
AutoGen
2 10%
CrewAI
2 10%
LangGraph
2 10%
LangChain
2 10%
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What databases does Worth AI use?
PostgreSQL is named in 55% of job postings at Worth AI, followed by Redis (55%), Amazon Redshift (55%), Amazon Neptune (15%).
PostgreSQL
11 55%
Redis
11 55%
Amazon Redshift
11 55%
Amazon Neptune
3 15%
Google BigQuery
3 15%
Neo4j
3 15%
Snowflake
3 15%
BigQuery
2 10%
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What cloud and platforms does Worth AI use?
AWS is named in 90% of job postings at Worth AI, followed by Apache Kafka (70%), Kubernetes (70%), Amazon S3 (65%).
AWS
18 90%
Apache Kafka
14 70%
Kubernetes
14 70%
Amazon EKS
10 50%
AWS Lambda
10 50%
Datadog
8 40%
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What developer tools does Worth AI use?
Terraform is named in 65% of job postings at Worth AI, followed by ArgoCD (40%), Rest API (30%), Docker (15%).
Terraform
13 65%
ArgoCD
8 40%
Rest API
6 30%
Docker
3 15%
GraphQL
3 15%
Model Context Protocol
2 10%
Braintrust
2 10%
What AI and ML technologies does Worth AI use?
Claude is named in 10% of job postings at Worth AI, followed by LLM (10%).
Which engineering practices does Worth AI ask for?
CI/CD is named in 60% of job postings at Worth AI, followed by ETL/ELT (40%), IAM (30%), Knowledge Graph (15%).
CI/CD
12 60%
SLI/SLO/SLA
3 15%
Service Mesh
3 15%
AI Agents
2 10%
Show all (16)
What does each Worth AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
5 postingsData Science
3 postingsSecurity
3 postingsDevOps
3 postingsHow does your stack fit Worth AI?
How is the Worth 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 Worth AI stack?
Worth AI scores 82 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 Worth AI stack in its industry?
Share of the 618 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Worth AI apart
Companies with a stack like Worth AI
Mobile Programming
52 shared technologies
Shyftlabs
57 shared technologies
NewRocket
50 shared technologies
Sunovaa Tech
52 shared technologies
Tekion
66 shared technologies
LexisNexis Intellectual Property Solutions
57 shared technologies
Hinge Health
53 shared technologies
Amazon.jobs
53 shared technologies
Questions about the Worth AI tech stack
What programming languages does Worth AI use?
The languages named in Worth AI job postings are Python (85%), JavaScript (70%), Node JS (55%), TypeScript (55%), Java (15%), as a share of the 20 postings of the last 12 months.
Does Worth AI use React.js?
Yes. React.js is named in 8 of 20 job postings (40%) and required in 7 of them.
What cloud and platforms does Worth AI use?
The cloud and platforms named in Worth AI job postings are AWS (18), Apache Kafka (14), Kubernetes (14) (postings in brackets).
What skills do you need for a Backend job at Worth AI?
Backend postings at Worth AI most often require Apache Kafka (5), Kubernetes (5), Nest.JS (5), Node JS (5), out of 5 postings in the last 12 months.
Is the Worth AI tech stack changing?
Yes. BigQuery, SLI/SLO/SLA, GitHub Actions, Service Mesh first appeared in Worth AI job postings in the last six months.
How modern is the Worth AI tech stack?
Worth AI scores 82 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 Worth AI tech stack?
Alion reads every job posting Worth 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 Sep 27, 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, "Worth AI tech stack: 75 technologies from 20 job postings", as of Sep 27, 2026. https://alion.io/company/worth-ai/technologies