Titan AI tech stack
Titan AI builds mostly with Python, TypeScript, SQL, JavaScript. Its stack also includes Azure, LangChain, LangGraph, Arize Phoenix. Python is named in 6 of the 10 job postings Titan AI published in the last 12 months (60%). Counted by Alion from the job postings of Titan AI, updated Oct 11, 2026.
What programming languages does Titan AI use?
Python is named in 60% of job postings at Titan AI, followed by TypeScript (30%), SQL (10%), JavaScript (10%).
What frameworks and libraries does Titan AI use?
LangChain is named in 40% of job postings at Titan AI, followed by LangGraph (40%), DeepEval (30%), OpenAI Agents SDK (30%).
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What databases does Titan AI use?
ArangoDB is named in 10% of job postings at Titan AI, followed by Dgraph (10%), Milvus (10%), MySQL (10%).
What cloud and platforms does Titan AI use?
Azure is named in 40% of job postings at Titan AI, followed by Arize Phoenix (30%), LangSmith (30%), Langfuse (30%).
What developer tools does Titan AI use?
Rest API is named in 30% of job postings at Titan AI, followed by Docker (10%), Model Context Protocol (10%), Semantic Kernel (10%).
What AI and ML technologies does Titan AI use?
Claude is named in 30% of job postings at Titan AI, followed by LLM (30%).
Which engineering practices does Titan AI ask for?
AI Agents is named in 70% of job postings at Titan AI, followed by RAG (60%), Agentic Workflows (30%), CI/CD (30%).
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What does each Titan AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Solutions
3 postingsHow does your stack fit Titan AI?
How is the Titan 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 Titan AI stack?
Titan AI scores 83 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: 2; legacy ones: 0.
How common is the Titan AI stack in its industry?
Share of the 1,000 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Titan AI apart
Companies with a stack like Titan AI
Questions about the Titan AI tech stack
What programming languages does Titan AI use?
The languages named in Titan AI job postings are Python (60%), TypeScript (30%), SQL (10%), JavaScript (10%), as a share of the 10 postings of the last 12 months.
Does Titan AI use LangChain?
Yes. LangChain is named in 4 of 10 job postings (40%) and required in 4 of them.
What cloud and platforms does Titan AI use?
The cloud and platforms named in Titan AI job postings are Azure (4), Arize Phoenix (3), LangSmith (3) (postings in brackets).
What skills do you need for a Solutions job at Titan AI?
Solutions postings at Titan AI most often require Claude (3), LangChain (3), LangGraph (3), OpenAI Agents SDK (3), out of 3 postings in the last 12 months.
Is the Titan AI tech stack changing?
Yes. LangChain, LangGraph, Agentic Workflows, Claude first appeared in Titan AI job postings in the last six months.
How modern is the Titan AI tech stack?
Titan AI scores 83 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: 2; legacy ones: 0.
How does Alion know the Titan AI tech stack?
Alion reads every job posting Titan AI publishes and tags the technologies each one names. The figures on this page count the 10 postings of the last 12 months and were updated on Oct 11, 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, "Titan AI tech stack: 58 technologies from 10 job postings", as of Oct 11, 2026. https://alion.io/company/titan-ai/technologies
