Pinnacle Search tech stack
Pinnacle Search builds mostly with Python, SQL, JavaScript, Java. Its stack also includes GCP, BigQuery, Google BigQuery, Google Cloud Run. GCP is named in 4 of the 4 job postings Pinnacle Search published in the last 12 months (100%). Counted by Alion from the job postings of Pinnacle Search, updated Oct 1, 2026.
What programming languages does Pinnacle Search use?
Python is named in 75% of job postings at Pinnacle Search, followed by SQL (50%), JavaScript (50%), Java (25%).
What frameworks and libraries does Pinnacle Search use?
FastAPI is named in 50% of job postings at Pinnacle Search, followed by LangGraph (50%), Pydantic AI (50%), React.js (50%).
FastAPI
2 50%
LangGraph
2 50%
Pydantic AI
2 50%
React.js
2 50%
FAISS
2 50%
LangChain
2 50%
Pydantic
1 25%
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What databases does Pinnacle Search use?
BigQuery is named in 75% of job postings at Pinnacle Search, followed by Google BigQuery (75%), Pinecone (50%), Redis (50%).
BigQuery 
What cloud and platforms does Pinnacle Search use?
GCP is named in 100% of job postings at Pinnacle Search, followed by Google Cloud Run (50%), Google GKE (50%), Vertex AI (50%).
GCP
4 100%
Google Cloud Run
2 50%
Google GKE
2 50%
Vertex AI
2 50%
Azure
2 50%
Kubernetes
2 50%
AWS
1 25%
GitHub
1 25%
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What developer tools does Pinnacle Search use?
Docker is named in 50% of job postings at Pinnacle Search, followed by Git (50%), Rest API (50%), A2A (25%).
Docker
2 50%
Git
2 50%
Rest API
2 50%
Google ADK
1 25%
Model Context Protocol
1 25%
WebSockets
1 25%
gRPC
1 25%
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What AI and ML technologies does Pinnacle Search use?
LLM is named in 50% of job postings at Pinnacle Search, followed by Claude (25%), Gemini (25%), LoRA (25%).
Which engineering practices does Pinnacle Search ask for?
Agentic Workflows is named in 50% of job postings at Pinnacle Search, followed by CI/CD (50%), Chain-of-Thought (50%), Machine Learning (50%).
CI/CD
2 50%
Chain-of-Thought
2 50%
Prompt Engineering
2 50%
RAG
2 50%
AI Agents
1 25%
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How does your stack fit Pinnacle Search?
How modern is the Pinnacle Search stack?
Pinnacle Search scores 87 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: 7; legacy ones: 0.
How common is the Pinnacle Search stack in its industry?
Share of the 223 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Pinnacle Search
Questions about the Pinnacle Search tech stack
What programming languages does Pinnacle Search use?
The languages named in Pinnacle Search job postings are Python (75%), SQL (50%), JavaScript (50%), Java (25%), as a share of the 4 postings of the last 12 months.
Does Pinnacle Search use FastAPI?
Yes. FastAPI is named in 2 of 4 job postings (50%) and required in 2 of them.
What cloud and platforms does Pinnacle Search use?
The cloud and platforms named in Pinnacle Search job postings are GCP (4), Google Cloud Run (2), Google GKE (2) (postings in brackets).
Is the Pinnacle Search tech stack changing?
No new technology has appeared in Pinnacle Search job postings in the last six months.
How modern is the Pinnacle Search tech stack?
Pinnacle Search scores 87 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: 7; legacy ones: 0.
How does Alion know the Pinnacle Search tech stack?
Alion reads every job posting Pinnacle Search publishes and tags the technologies each one names. The figures on this page count the 4 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, "Pinnacle Search tech stack: 66 technologies from 4 job postings", as of Oct 1, 2026. https://alion.io/company/pinnacle-search/technologies