Project description
We are building and maintaining one of the largest OTT platform test automation frameworks, serving millions of customers across streaming TV platforms. The team develops a Java/Appium-based automation framework for Android TV devices and is actively expanding it with AI-powered tooling.
We are looking for a Senior AI Developer. This is a hybrid role combining the design and development of AI-powered internal tools with hands-on test automation engineering skills. The idóneo candidate is a software engineer who understands both QA automation and modern LLM/RAG systems — and can translate test engineering problems into practical AI solutions.
Responsibilities
Design and implement AI-powered solutions focused on:
Automated test failure triage — LLM + RAG pipeline classifying ReportPortal failures (logs, stack traces, screenshots) into structured categories (PRODUCT_BUG, AUTOMATION_BUG, SYSTEM_ISSUE) using AWS Bedrock + Claude
AI-based Change-Based Testing (CBT)
— LLM-driven test case selection using semantic similarity between code changes and test coverage
AI test case generation from feature specs, Jira tickets, and Confluence documentation
Build and maintain end-to-end RAG pipelines: document ingestion chunking embedding OpenSearch Serverless vector store retrieval LLM response generation
Develop AWS Lambda functions (Python 3.12) and API Gateway REST endpoints to integrate AI capabilities into CI/CD pipelines
Apply prompt engineering best practices (system prompts, structured JSON output, guardrails) and drive continuous evaluation of LLM solution accuracy
Use Cursor IDE with MCP integrations, agentic workflows, and context/rules files to accelerate test code generation and maintenance
Write, maintain, and expand automated test suites in Java (Appium / UiAutomator2) for Android TV platforms
Develop and maintain functional, regression, NFR, and CBT test suites
Triage and resolve test failures in ReportPortal; integrate AI triage re
📌 Senior AI Developer (México)
🏢 Luxoft
📍 México