Genesis Molecular AI tech stack
Genesis Molecular AI builds mostly with Python, SQL. Its stack also includes GCP, Kubernetes, PyTorch, Ray. Python is named in 3 of the 13 job postings Genesis Molecular AI published in the last 12 months (23%). Counted by Alion from the job postings of Genesis Molecular AI, updated Oct 1, 2026.
What programming languages does Genesis Molecular AI use?
Python is named in 23% of job postings at Genesis Molecular AI, followed by SQL (8%).
What frameworks and libraries does Genesis Molecular AI use?
PyTorch is named in 15% of job postings at Genesis Molecular AI, followed by Ray (15%), Scikit-learn (8%), Dagster (8%).
What cloud and platforms does Genesis Molecular AI use?
GCP is named in 15% of job postings at Genesis Molecular AI, followed by Kubernetes (15%), AWS (8%), Airflow (8%).
What developer tools does Genesis Molecular AI use?
Terraform is named in 15% of job postings at Genesis Molecular AI, followed by Microsoft Excel (8%).
Terraform
2 15%
What AI and ML technologies does Genesis Molecular AI use?
LLM is named in 15% of job postings at Genesis Molecular AI.
LLM
2 15%
Which engineering practices does Genesis Molecular AI ask for?
Diffusion Models is named in 100% of job postings at Genesis Molecular AI, followed by Machine Learning (69%), Multimodal AI (15%), Post-training (15%).
Diffusion Models
13 100%
Multimodal AI
2 15%
Reinforcement Learning
2 15%
HPC
1 8%
Show all (9)
How does your stack fit Genesis Molecular AI?
How is the Genesis Molecular 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 Genesis Molecular AI stack?
Genesis Molecular AI scores 76 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 common is the Genesis Molecular AI stack in its industry?
Share of the 85 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Genesis Molecular AI
Questions about the Genesis Molecular AI tech stack
What programming languages does Genesis Molecular AI use?
The languages named in Genesis Molecular AI job postings are Python (23%), SQL (8%), as a share of the 13 postings of the last 12 months.
Does Genesis Molecular AI use PyTorch?
Yes. PyTorch is named in 2 of 13 job postings (15%) and required in 1 of them.
What cloud and platforms does Genesis Molecular AI use?
The cloud and platforms named in Genesis Molecular AI job postings are GCP (2), Kubernetes (2), AWS (1) (postings in brackets).
Is the Genesis Molecular AI tech stack changing?
Yes. Multimodal AI first appeared in Genesis Molecular AI job postings in the last six months.
How modern is the Genesis Molecular AI tech stack?
Genesis Molecular AI scores 76 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 Genesis Molecular AI tech stack?
Alion reads every job posting Genesis Molecular AI publishes and tags the technologies each one names. The figures on this page count the 13 postings of the last 12 months and were updated on Oct 1, 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, "Genesis Molecular AI tech stack: 26 technologies from 13 job postings", as of Oct 1, 2026. https://alion.io/company/genesis-molecular-ai/technologies