webAI tech stack
webAI builds mostly with Rust, Python, C++, Go. Its stack also includes PyTorch, TensorFlow, Kubernetes, GitLab. Rust is named in 16 of the 32 job postings webAI published in the last 12 months (50%). Counted by Alion from the job postings of webAI, updated Nov 12, 2026.
What programming languages does webAI use?
Rust is named in 50% of job postings at webAI, followed by Python (41%), C++ (38%), Go (16%).
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What frameworks and libraries does webAI use?
PyTorch is named in 19% of job postings at webAI, followed by TensorFlow (19%), JAX (13%), Compose Multiplatform (9%).
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What databases does webAI use?
Pinecone is named in 6% of job postings at webAI, followed by Milvus (3%), Weaviate (3%).
What cloud and platforms does webAI use?
Kubernetes is named in 16% of job postings at webAI, followed by GitLab (13%), AWS (13%), Azure (13%).
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What developer tools does webAI use?
Docker is named in 16% of job postings at webAI, followed by Ansible (9%), MQTT (9%), Prometheus (9%).
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What AI and ML technologies does webAI use?
LLM is named in 3% of job postings at webAI, followed by LoRA (3%), PEFT (3%).
Which engineering practices does webAI ask for?
Edge AI is named in 44% of job postings at webAI, followed by Machine Learning (34%), AI Agents (25%), CI/CD (25%).
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What other technologies does webAI use?
IPFS is named in 16% of job postings at webAI, followed by Kotlin Coroutines (9%).
What does each webAI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
8 postingsAI/ML
7 postingsDevOps
4 postingsLeadership
3 postingsMobile
3 postingsHow does your stack fit webAI?
How is the webAI 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 webAI stack?
webAI 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: 3; legacy ones: 0.
How common is the webAI stack in its industry?
Share of the 1,093 companies in the same industries, whose stack Alion knows, that use each technology.
What sets webAI apart
Companies with a stack like webAI
Questions about the webAI tech stack
What programming languages does webAI use?
The languages named in webAI job postings are Rust (50%), Python (41%), C++ (38%), Go (16%), Kotlin (13%), as a share of the 32 postings of the last 12 months.
Does webAI use PyTorch?
Yes. PyTorch is named in 6 of 32 job postings (19%) and required in 6 of them.
What cloud and platforms does webAI use?
The cloud and platforms named in webAI job postings are Kubernetes (5), GitLab (4), AWS (4) (postings in brackets).
What skills do you need for a Backend job at webAI?
Backend postings at webAI most often require Rust (4), Cypress (3), GitLab (3), JavaScript (3), out of 8 postings in the last 12 months.
Is the webAI tech stack changing?
Yes. Offline-First, TCP/IP, Wi-Fi, Ansible first appeared in webAI job postings in the last six months.
How modern is the webAI tech stack?
webAI 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: 3; legacy ones: 0.
How does Alion know the webAI tech stack?
Alion reads every job posting webAI publishes and tags the technologies each one names. The figures on this page count the 32 postings of the last 12 months and were updated on Nov 12, 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, "webAI tech stack: 104 technologies from 32 job postings", as of Nov 12, 2026. https://alion.io/company/webai/technologies
