RayNeo tech stack
RayNeo builds mostly with Python, C++, Java, Kotlin. Its stack also includes Linux, Kubernetes, PyTorch, TensorFlow. Python is named in 10 of the 25 job postings RayNeo published in the last 12 months (40%). Counted by Alion from the job postings of RayNeo, updated Oct 2, 2026.
What programming languages does RayNeo use?
Python is named in 40% of job postings at RayNeo, followed by C++ (28%), Java (4%), Kotlin (4%).
What frameworks and libraries does RayNeo use?
PyTorch is named in 12% of job postings at RayNeo, followed by TensorFlow (12%), NumPy (8%), Pandas (8%).
Show all (16)
What databases does RayNeo use?
HBase is named in 4% of job postings at RayNeo, followed by MySQL (4%).
What cloud and platforms does RayNeo use?
Linux is named in 20% of job postings at RayNeo, followed by Kubernetes (12%), Android SDK (4%), Azure (4%).
Show all (11)
What developer tools does RayNeo use?
Axure RP is named in 8% of job postings at RayNeo, followed by Git (8%), CMake (4%), Cursor (4%).
Show all (10)
What AI and ML technologies does RayNeo use?
Claude is named in 4% of job postings at RayNeo, followed by Core ML (4%), LLM (4%), VLM (4%).
Which engineering practices does RayNeo ask for?
AI Agents is named in 4% of job postings at RayNeo, followed by CI/CD (4%), Function Calling (4%), RAG (4%).
What does each RayNeo team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
6 postingsHardware
5 postingsIndustrial Engineering
4 postingsEarly Careers
4 postingsHow does your stack fit RayNeo?
How is the RayNeo 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 RayNeo stack?
RayNeo scores 86 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: 4; legacy ones: 0.
Companies with a stack like RayNeo
Questions about the RayNeo tech stack
What programming languages does RayNeo use?
The languages named in RayNeo job postings are Python (40%), C++ (28%), Java (4%), Kotlin (4%), SQL (4%), as a share of the 25 postings of the last 12 months.
Does RayNeo use PyTorch?
Yes. PyTorch is named in 3 of 25 job postings (12%) and required in 3 of them.
What cloud and platforms does RayNeo use?
The cloud and platforms named in RayNeo job postings are Linux (5), Kubernetes (3), Android SDK (1) (postings in brackets).
What skills do you need for a AI/ML job at RayNeo?
AI/ML postings at RayNeo most often require Python (5), C++ (2), Kubernetes (2), out of 6 postings in the last 12 months.
Is the RayNeo tech stack changing?
Yes. NumPy, Pandas first appeared in RayNeo job postings in the last six months.
How modern is the RayNeo tech stack?
RayNeo scores 86 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: 4; legacy ones: 0.
How does Alion know the RayNeo tech stack?
Alion reads every job posting RayNeo publishes and tags the technologies each one names. The figures on this page count the 25 postings of the last 12 months and were updated on Oct 2, 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, "RayNeo tech stack: 56 technologies from 25 job postings", as of Oct 2, 2026. https://alion.io/company/rayneo-cn/technologies
