Inworld AI tech stack
Inworld AI builds mostly with Python, C++, Rust, Go. Its stack also includes Kubernetes, CUDA Toolkit, CUDA, Ray. LLM is named in 16 of the 16 job postings Inworld AI published in the last 12 months (100%). Counted by Alion from the job postings of Inworld AI, updated Sep 30, 2026.
What programming languages does Inworld AI use?
Python is named in 44% of job postings at Inworld AI, followed by C++ (31%), Rust (31%), Go (6%).
What frameworks and libraries does Inworld AI use?
CUDA is named in 31% of job postings at Inworld AI, followed by Ray (31%).
What cloud and platforms does Inworld AI use?
Kubernetes is named in 38% of job postings at Inworld AI, followed by CUDA Toolkit (31%), vLLM (31%), Azure (6%).
What developer tools does Inworld AI use?
Claude Code is named in 13% of job postings at Inworld AI, followed by Ansible (6%), ArgoCD (6%), Helm (6%).
Show all (9)
What AI and ML technologies does Inworld AI use?
LLM is named in 100% of job postings at Inworld AI, followed by Claude (6%).
Which engineering practices does Inworld AI ask for?
AI Agents is named in 56% of job postings at Inworld AI, followed by Multimodal AI (56%), Quantization (38%), Knowledge Distillation (31%).
Show all (15)
What does each Inworld AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
9 postingsHow does your stack fit Inworld AI?
How is the Inworld 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 Inworld AI stack?
Inworld AI scores 78 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 Inworld AI stack in its industry?
Share of the 1,015 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Inworld AI apart
Companies with a stack like Inworld AI
Questions about the Inworld AI tech stack
What programming languages does Inworld AI use?
The languages named in Inworld AI job postings are Python (44%), C++ (31%), Rust (31%), Go (6%), JavaScript (6%), as a share of the 16 postings of the last 12 months.
Does Inworld AI use CUDA?
Yes. CUDA is named in 5 of 16 job postings (31%) and required in 5 of them.
What cloud and platforms does Inworld AI use?
The cloud and platforms named in Inworld AI job postings are Kubernetes (6), CUDA Toolkit (5), vLLM (5) (postings in brackets).
What skills do you need for a AI/ML job at Inworld AI?
AI/ML postings at Inworld AI most often require LLM (9), C++ (5), CUDA (5), CUDA Toolkit (5), out of 9 postings in the last 12 months.
Is the Inworld AI tech stack changing?
Yes. Claude Code, Quantization, CUDA, CUDA Toolkit first appeared in Inworld AI job postings in the last six months.
How modern is the Inworld AI tech stack?
Inworld AI scores 78 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 Inworld AI tech stack?
Alion reads every job posting Inworld AI publishes and tags the technologies each one names. The figures on this page count the 16 postings of the last 12 months and were updated on Sep 30, 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, "Inworld AI tech stack: 40 technologies from 16 job postings", as of Sep 30, 2026. https://alion.io/company/inworld-ai/technologies
