PocketPills tech stack
PocketPills builds mostly with Python, Java, SQL, JavaScript. Its stack also includes LangSmith, Pinecone, Qdrant, LangChain. Python is named in 3 of the 7 job postings PocketPills published in the last 12 months (43%). Counted by Alion from the job postings of PocketPills, updated Oct 16, 2026.
What programming languages does PocketPills use?
Python is named in 43% of job postings at PocketPills, followed by Java (29%), SQL (29%), JavaScript (14%).
What frameworks and libraries does PocketPills use?
LangChain is named in 43% of job postings at PocketPills, followed by LangGraph (43%), LlamaIndex (43%), pgvector (43%).
LangChain
3 43%
LangGraph
3 43%
LlamaIndex
3 43%
pgvector
3 43%
Hibernate
2 29%
Spring Framework
2 29%
Angular
1 14%
Angular Material
1 14%
Show all (11)
What databases does PocketPills use?
Pinecone is named in 43% of job postings at PocketPills, followed by Qdrant (43%), Weaviate (43%), PostgreSQL (43%).
What cloud and platforms does PocketPills use?
LangSmith is named in 43% of job postings at PocketPills.
LangSmith
3 43%
What developer tools does PocketPills use?
Docker is named in 43% of job postings at PocketPills, followed by Rest API (43%), Model Context Protocol (43%), Jenkins (29%).
What AI and ML technologies does PocketPills use?
LLM is named in 43% of job postings at PocketPills.
LLM
3 43%
Which engineering practices does PocketPills ask for?
AI Agents is named in 43% of job postings at PocketPills, followed by Agentic Workflows (43%), Embeddings (43%), Function Calling (43%).
AI Agents
3 43%
Embeddings
3 43%
Function Calling
3 43%
Prompt Engineering
3 43%
RAG
3 43%
Reranking
3 43%
Show all (12)
What does each PocketPills team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
3 postingsHow does your stack fit PocketPills?
How modern is the PocketPills stack?
PocketPills 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 PocketPills stack in its industry?
Share of the 176 companies in the same industries, whose stack Alion knows, that use each technology.
What sets PocketPills apart
Companies with a stack like PocketPills
Questions about the PocketPills tech stack
What programming languages does PocketPills use?
The languages named in PocketPills job postings are Python (43%), Java (29%), SQL (29%), JavaScript (14%), Node JS (14%), as a share of the 7 postings of the last 12 months.
Does PocketPills use LangChain?
Yes. LangChain is named in 3 of 7 job postings (43%) and required in 3 of them.
What cloud and platforms does PocketPills use?
The cloud and platforms named in PocketPills job postings are LangSmith (3) (postings in brackets).
What skills do you need for a AI/ML job at PocketPills?
AI/ML postings at PocketPills most often require Docker (3), LLM (3), LangChain (3), LangGraph (3), out of 3 postings in the last 12 months.
Is the PocketPills tech stack changing?
No new technology has appeared in PocketPills job postings in the last six months.
How modern is the PocketPills tech stack?
PocketPills 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 PocketPills tech stack?
Alion reads every job posting PocketPills publishes and tags the technologies each one names. The figures on this page count the 7 postings of the last 12 months and were updated on Oct 16, 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, "PocketPills tech stack: 43 technologies from 7 job postings", as of Oct 16, 2026. https://alion.io/company/pocketpills/technologies