QAPOT

AI LLM Engineer (Only LATAM)

AI API AWS Azure Data Pipelines +16 skills

Remote LLM engineer who designs, builds, and deploys AI/LLM-powered features into production — prompt pipelines, RAG with vector databases, model fine-tuning, and API/backend integration. Core stack: Python, OpenAI/open-source LLMs, vector DBs (Pinecone/Weaviate/FAISS), and cloud platforms (AWS/GCP/Azure).

QA Automation Engineer (C# required) (only CR)

Automation BDD CI/CD C# Cypress +7 skills

Costa Rica

Remote QA Automation Engineer (Costa Rica only) who builds and maintains automated test scripts and testing frameworks to ensure software quality. Core stack includes C#, Selenium WebDriver/Playwright/Cypress, CI/CD tools like Jenkins or GitLab CI, Git, and BDD/TDD practices such as SpecFlow.

Performance Tester Engineer (C# required) (only CR)

API Automation BDD CI/CD C# +9 skills

Costa Rica

100% remote QA performance testing role open only to candidates in Costa Rica: design and maintain C# automated test scripts and frameworks, and drive functional plus load/API performance testing with JMeter, integrated into CI/CD pipelines.

QA Manual (CR Only)

NewBe an early applicant Europe

Costa Rica

QAPOT is hiring a manual QA engineer to design, document, and execute test cases, report defects, and verify fixes alongside cross-functional teams. The role is fully remote but open only to candidates based in Costa Rica.

Remote Data Engineer - Azure & Databricks Platform

Poland

QAPOT is hiring a Data Engineer in Poland to design, build, and maintain modern data platforms on Microsoft Azure and Databricks. Day to day, they ingest, transform, and deliver trusted data via scalable pipelines for analytics, AI, and client engagements, with a focus on data quality, governance, and security.

AI Analytics Azure Data Governance Data Quality +1 skills

NewBe an early applicant RemoteEuropeJunior

2 days ago

Data Engineer

Poland

Data Engineer on a consulting Data & AI practice, building modern data platforms and pipelines for clients on Microsoft Azure and Azure Databricks. Day to day: ingesting, cleaning, and transforming data into analytics-ready datasets using Python, PySpark, SQL, Microsoft Fabric, and Azure Data Factory, while working with architects, data scientists, and client stakeholders.

Accessibility Agile AI Analytics API +25 skills