Distrito
distrito.me
Actively hiring
Artificial Intelligence
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Salaries
Products
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Growth
Offices
Jobs
Financials
Tech stack
Technologies named in job postings at Distrito over the last 12 months, by layer, with the share of postings for each.
Technologies in use
37
Postings analysed
4
Stack modernity
82/100AI adopter
Languages
Python
Node JS
JavaScript
SQL
Frameworks & libraries
LangChain
FAISS
Pandas
Databases
Chroma
OpenSearch
Amazon Redshift
Google BigQuery
Cloud & platforms
AWS
Azure
GCP
Anthropic
AI & ML
LLM
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Full Distrito tech stack
37 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
28/100
Slowing
Open positions
4
0 opened / 0 closed in 30 days
ATS activity
Every ~5 hours
Today
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
50% ▲
Data Science
25% ▲
Product
25% ▲
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
São Paulo
São Paulo
Brazil
HQ
Outras Formas de Contato
4 open roles 4 posted in 90 days 75% engineering 75% remote 10-50 est. staff
hires for AI/ML, Data Science, Product
Av. Rebouças, 1585 - Pinheiros, São Paulo - SP, 05401-200
Jobs
Remote (Brazil) · Full-Time · São Paulo
Python
JavaScript
Node JS
Chroma
OpenSearch
AI/ML
LangChain
Embeddings
LLM
RAG
OpenAI
Anthropic
DevOps
Rest API
GCP
Azure
CI/CD
AWS
Docker
Apply
Remote (Brazil) · Full-Time · São Paulo
Python
SQL
Scala
pySpark
Databases
Snowflake
Weaviate
Pinecone
FAISS
Apache Kafka
Google BigQuery
Amazon Redshift
AI/ML
Spark
Airflow
dbt
Embeddings
Pandas
RAG
Feature Store
Machine Learning
DevOps
GCP
Azure
AWS
Docker
Kubernetes
Amazon S3
Analytics
ETL/ELT
Apply
Hybrid · Full-Time · São Paulo
NLP
RAG
Machine Learning
Management
Confluence
Jira
Scrum
Kanban
Apply
Remote (Brazil) · Full-Time · São Paulo
Python
JavaScript
Node JS
Chroma
OpenSearch
AI/ML
LangChain
Embeddings
LLM
RAG
OpenAI
Anthropic
DevOps
Rest API
GCP
Azure
CI/CD
AWS
Docker
Apply