Relevance AI tech stack
Relevance AI builds mostly with JavaScript, Node JS, TypeScript, Python. Its stack also includes Databricks, AWS, PostgreSQL, Express. Databricks is named in 17 of the 17 job postings Relevance AI published in the last 12 months (100%). Counted by Alion from the job postings of Relevance AI, updated Oct 1, 2026.
What programming languages does Relevance AI use?
JavaScript is named in 53% of job postings at Relevance AI, followed by Node JS (53%), TypeScript (53%), Python (41%).
What frameworks and libraries does Relevance AI use?
Express is named in 53% of job postings at Relevance AI, followed by React.js (53%), Vue.js (53%), Dapr (6%).
What databases does Relevance AI use?
PostgreSQL is named in 53% of job postings at Relevance AI.
What cloud and platforms does Relevance AI use?
Databricks is named in 100% of job postings at Relevance AI, followed by AWS (53%), Kubernetes (53%), Vercel (53%).
What developer tools does Relevance AI use?
Canva is named in 71% of job postings at Relevance AI, followed by Claude Code (53%), Cursor (53%), OpenAI Codex (53%).
What AI and ML technologies does Relevance AI use?
Claude is named in 29% of job postings at Relevance AI.
Which engineering practices does Relevance AI ask for?
AI Agents is named in 100% of job postings at Relevance AI, followed by LLM Guardrails (29%), Context Engineering (18%), CI/CD (12%).
Show all (9)
What does each Relevance AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Product
4 postingsHow does your stack fit Relevance AI?
How modern is the Relevance AI stack?
Relevance AI scores 78 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 Relevance AI stack in its industry?
Share of the 787 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Relevance AI apart
Relevance AI products in its job postings
Postings at Relevance AI name its own products. They describe what the company makes, so they are left out of the stack above.
Companies with a stack like Relevance AI
Questions about the Relevance AI tech stack
What programming languages does Relevance AI use?
The languages named in Relevance AI job postings are JavaScript (53%), Node JS (53%), TypeScript (53%), Python (41%), Go (6%), as a share of the 17 postings of the last 12 months.
Does Relevance AI use Express?
Yes. Express is named in 9 of 17 job postings (53%) and required in 4 of them.
What cloud and platforms does Relevance AI use?
The cloud and platforms named in Relevance AI job postings are Databricks (17), AWS (9), Kubernetes (9) (postings in brackets).
What skills do you need for a Product job at Relevance AI?
Product postings at Relevance AI most often require Claude Code (3), Cursor (3), OpenAI Codex (3), Databricks (2), out of 4 postings in the last 12 months.
Is the Relevance AI tech stack changing?
No new technology has appeared in Relevance AI job postings in the last six months.
How modern is the Relevance AI tech stack?
Relevance AI scores 78 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 Relevance AI tech stack?
Alion reads every job posting Relevance AI publishes and tags the technologies each one names. The figures on this page count the 17 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, "Relevance AI tech stack: 35 technologies from 17 job postings", as of Oct 1, 2026. https://alion.io/company/relevance-ai/technologies
