Sesame AI tech stack
Sesame AI builds mostly with Python, TypeScript, SQL, JavaScript. Its stack also includes Kubernetes, GCP, PyTorch, Ray. Python is named in 6 of the 26 job postings Sesame AI published in the last 12 months (23%). Counted by Alion from the job postings of Sesame AI, updated Oct 4, 2026.
What programming languages does Sesame AI use?
Python is named in 23% of job postings at Sesame AI, followed by TypeScript (8%), SQL (4%), JavaScript (4%).
What frameworks and libraries does Sesame AI use?
PyTorch is named in 8% of job postings at Sesame AI, followed by Ray (8%), Appium (4%), Core Bluetooth (4%).
PyTorch
2 8%
Ray
2 8%
Appium
1 4%
Core Bluetooth
1 4%
Dagster
1 4%
Detox
1 4%
Espresso
1 4%
FastAPI
1 4%
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What cloud and platforms does Sesame AI use?
Kubernetes is named in 19% of job postings at Sesame AI, followed by GCP (19%), AWS (8%), DLP (4%).
Kubernetes
5 19%
GCP
5 19%
AWS
2 8%
Prefect
1 4%
Amazon EKS
1 4%
Datadog
1 4%
Firebase
1 4%
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What developer tools does Sesame AI use?
Adobe Photoshop is named in 4% of job postings at Sesame AI, followed by Maestro (4%), TestRail (4%), WebSockets (4%).
Adobe Photoshop
1 4%
Maestro
1 4%
TestRail
1 4%
WebSockets
1 4%
gRPC
1 4%
Bazel
1 4%
CloudFormation
1 4%
Docker
1 4%
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What AI and ML technologies does Sesame AI use?
LLM is named in 4% of job postings at Sesame AI.
LLM
1 4%
Which engineering practices does Sesame AI ask for?
Voice Agents is named in 96% of job postings at Sesame AI, followed by CI/CD (15%), Machine Learning (15%), AI Agents (8%).
CI/CD
4 15%
AI Agents
2 8%
Computer Vision
2 8%
Multimodal AI
2 8%
NLP
2 8%
Show all (15)
What does each Sesame AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
4 postingsHow does your stack fit Sesame AI?
How is the Sesame 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 Sesame AI stack?
Sesame AI scores 71 out of 100 (Modern). 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 Sesame AI
Questions about the Sesame AI tech stack
What programming languages does Sesame AI use?
The languages named in Sesame AI job postings are Python (23%), TypeScript (8%), SQL (4%), JavaScript (4%), as a share of the 26 postings of the last 12 months.
Does Sesame AI use PyTorch?
Yes. PyTorch is named in 2 of 26 job postings (8%) and required in 1 of them.
What cloud and platforms does Sesame AI use?
The cloud and platforms named in Sesame AI job postings are Kubernetes (5), GCP (5), AWS (2) (postings in brackets).
What skills do you need for a Backend job at Sesame AI?
Backend postings at Sesame AI most often require Kubernetes (3), Python (2), out of 4 postings in the last 12 months.
Is the Sesame AI tech stack changing?
Yes. Computer Vision, Multimodal AI, NLP first appeared in Sesame AI job postings in the last six months.
How modern is the Sesame AI tech stack?
Sesame AI scores 71 out of 100 (Modern). 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 Sesame AI tech stack?
Alion reads every job posting Sesame AI publishes and tags the technologies each one names. The figures on this page count the 26 postings of the last 12 months and were updated on Oct 4, 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, "Sesame AI tech stack: 59 technologies from 26 job postings", as of Oct 4, 2026. https://alion.io/company/sesame-ai/technologies