TensorOps tech stack
TensorOps builds mostly with Python, SQL. Its stack also includes AWS, GCP, LangChain, Scikit-learn. AWS is named in 9 of the 9 job postings TensorOps published in the last 12 months (100%). Counted by Alion from the job postings of TensorOps, updated Sep 26, 2026.
What programming languages does TensorOps use?
Python is named in 89% of job postings at TensorOps, followed by SQL (11%).
What frameworks and libraries does TensorOps use?
LangChain is named in 89% of job postings at TensorOps, followed by Scikit-learn (67%), TensorFlow (67%), PyTorch (56%).
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What databases does TensorOps use?
ElasticSearch is named in 22% of job postings at TensorOps, followed by OpenSearch (11%).
What cloud and platforms does TensorOps use?
AWS is named in 100% of job postings at TensorOps, followed by GCP (89%), Azure (44%), Cloudflare (44%).
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What developer tools does TensorOps use?
Docker is named in 33% of job postings at TensorOps, followed by Git (11%).
What AI and ML technologies does TensorOps use?
LLM is named in 67% of job postings at TensorOps.
Which engineering practices does TensorOps ask for?
AI Agents is named in 89% of job postings at TensorOps, followed by Machine Learning (89%), Fine-tuning (78%), RAG (78%).
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What does each TensorOps team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
7 postingsHow does your stack fit TensorOps?
How is the TensorOps 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 TensorOps stack?
TensorOps scores 80 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: 1; legacy ones: 0.
Companies with a stack like TensorOps
Questions about the TensorOps tech stack
What programming languages does TensorOps use?
The languages named in TensorOps job postings are Python (89%), SQL (11%), as a share of the 9 postings of the last 12 months.
Does TensorOps use LangChain?
Yes. LangChain is named in 8 of 9 job postings (89%) and required in 7 of them.
What cloud and platforms does TensorOps use?
The cloud and platforms named in TensorOps job postings are AWS (9), GCP (8), Azure (4) (postings in brackets).
What skills do you need for a AI/ML job at TensorOps?
AI/ML postings at TensorOps most often require Python (7), AWS (6), GCP (6), LangChain (6), out of 7 postings in the last 12 months.
Is the TensorOps tech stack changing?
Yes. NumPy, Recommender Systems, Kubeflow, LlamaIndex first appeared in TensorOps job postings in the last six months.
How modern is the TensorOps tech stack?
TensorOps scores 80 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: 1; legacy ones: 0.
How does Alion know the TensorOps tech stack?
Alion reads every job posting TensorOps publishes and tags the technologies each one names. The figures on this page count the 9 postings of the last 12 months and were updated on Sep 26, 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, "TensorOps tech stack: 47 technologies from 9 job postings", as of Sep 26, 2026. https://alion.io/company/tensorops/technologies
