RapidClaims tech stack
RapidClaims builds mostly with Python, SQL, Go, Node JS. Its stack also includes AWS, Azure, ArangoDB, Neo4j. Python is named in 6 of the 6 job postings RapidClaims published in the last 12 months (100%). Counted by Alion from the job postings of RapidClaims, updated Oct 22, 2026.
What programming languages does RapidClaims use?
Python is named in 100% of job postings at RapidClaims, followed by SQL (83%), Go (67%), Node JS (67%).
What frameworks and libraries does RapidClaims use?
PyTorch is named in 17% of job postings at RapidClaims, followed by SGLang (17%), TensorRT-LLM (17%).
What databases does RapidClaims use?
ArangoDB is named in 17% of job postings at RapidClaims, followed by Neo4j (17%).
What cloud and platforms does RapidClaims use?
AWS is named in 67% of job postings at RapidClaims, followed by Azure (67%), GCP (67%), Apache Kafka (67%).
AWS
4 67%
Azure
4 67%
GCP
4 67%
Apache Kafka
4 67%
Arize Phoenix
1 17%
Kubernetes
1 17%
LangSmith
1 17%
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What developer tools does RapidClaims use?
Docker is named in 67% of job postings at RapidClaims, followed by Rest API (33%), Braintrust (17%), Model Context Protocol (17%).
Docker
4 67%
Rest API
2 33%
Braintrust
1 17%
Model Context Protocol
1 17%
TensorRT
1 17%
What AI and ML technologies does RapidClaims use?
LLM is named in 33% of job postings at RapidClaims, followed by Llama (17%), LoRA (17%), PEFT (17%).
Which engineering practices does RapidClaims ask for?
Function Calling is named in 33% of job postings at RapidClaims, followed by Structured Outputs (33%), AI Agents (17%), DPO (17%).
Function Calling
2 33%
AI Agents
1 17%
Fine-tuning
1 17%
Hybrid Search
1 17%
Show all (12)
What does each RapidClaims 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 RapidClaims?
How modern is the RapidClaims stack?
RapidClaims 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: 6; legacy ones: 0.
How common is the RapidClaims stack in its industry?
Share of the 5,700 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like RapidClaims
Questions about the RapidClaims tech stack
What programming languages does RapidClaims use?
The languages named in RapidClaims job postings are Python (100%), SQL (83%), Go (67%), Node JS (67%), JavaScript (67%), as a share of the 6 postings of the last 12 months.
Does RapidClaims use AWS?
Yes. AWS is named in 4 of 6 job postings (67%) and required in 4 of them.
What cloud and platforms does RapidClaims use?
The cloud and platforms named in RapidClaims job postings are AWS (4), Azure (4), GCP (4) (postings in brackets).
What skills do you need for a Backend job at RapidClaims?
Backend postings at RapidClaims most often require AWS (4), Azure (4), Docker (4), GCP (4), out of 4 postings in the last 12 months.
Is the RapidClaims tech stack changing?
No new technology has appeared in RapidClaims job postings in the last six months.
How modern is the RapidClaims tech stack?
RapidClaims 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: 6; legacy ones: 0.
How does Alion know the RapidClaims tech stack?
Alion reads every job posting RapidClaims publishes and tags the technologies each one names. The figures on this page count the 6 postings of the last 12 months and were updated on Oct 22, 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, "RapidClaims tech stack: 45 technologies from 6 job postings", as of Oct 22, 2026. https://alion.io/company/rapidclaims/technologies