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 ideal 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.
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Design and implement AI-powered solutions focused on:
o Automated test failure triage — LLM + RAG pipeline classifying ReportPortal failures (logs, stack traces, screenshots) into structured categories (PRODUCTBUG, AUTOMATIONBUG, SYSTEM_ISSUE) using AWS Bedrock + Claude
o AI-based Change-Based Testing (CBT) — LLM-driven test case selection using semantic similarity between code changes and test coverage
o 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 results with QMetry (QTM4J)
- Support CI/CD pipeline health — participate in Nightly Build, RC, and release automation runs via Jenkins
- Contribute to framework codebase improvements — bug fixes, refactoring, enhancements
- Participate in Kanban ceremonies and PI planning under the ART team
- Present AI solution demos to stakeholders and engineering leadership
- Document AI system architecture, RAG pipelines, and tools in Confluence
MUST
- AWS Bedrock — hands-on: model access, Knowledge Bases, Lambda integration (primary AI platform)
- AI agents & Agentic tooling — practical knowledge of designing and operating AI agents, including agentic workflows, reusable skills, rules/guardrails, commands, and multi-tool/multi-agent orchestration
- RAG pipeline — end-to-end implementation: chunking, embedding, vector indexing, retrieval, generation
- Prompt engineering — zero-shot, few-shot, chain-of-thought, structured output (JSON mode), multi-turn
- Vector databases — working knowledge of OpenSearch, Pinecone, or Faiss; understands vector vs. graph DB difference
- LLM guardrails — input/output filtering, hallucination mitigation strategies
- Fine-tuning vs. RAG — ability to reason through which approach fits a given problem
- LLM orchestration — LangChain, LangGraph, or LlamaIndex
- Embeddings — understands semantic similarity; experience with Amazon Titan Embed or equivalent
- Python — for Lambda functions, AI pipeline scripting, and data processing
- Java — 3+ years of hands-on test automation development
- Appium / UiAutomator2 — mobile/Android UI automation
- Android / ADB — device management, test execution
- ReportPortal or equivalent test reporting tool
- REST API — concepts and hands-on usage
- Jenkins / CI-CD — pipeline debugging and integration
- AWS — S3, Lambda, API Gateway, IAM, OpenSearch Serverless
- Docker — containerized test execution environments
- Cursor IDE advanced features — .cursorrules, memory-bank context files, MCP server integration, and agentic triage workflows
- Android TV platforms — STB / embedded device testing experience (Fire TV, Roku, or similar)
- QMetry (QTM4J) — test management integrated with Jira
- Streamlit — for building internal AI dashboards
- DSPy — programmatic prompt optimization
- AWS SageMaker / MLflow — model evaluation and experiment tracking
- Kotlin — for tooling alongside Java
Luxoft DXC
2000
Luxoft, a DXC Technology Company is a global digital strategy and software engineering firm with over 17,000 international employees within its 58 offices in 29 countries. It is headquartered in Zug, Switzerland.
In January 2019, Luxoft was acquired by U.S. company DXC Technology. Luxoft partnered with LG Electronics to create a next-generation Autonomous Mobility concept vehicle that integrates consumers' personalized digital lifestyles into a driving experience. Luxoft enabled Switzerland's first Blockchain based e-vote platform with the City of Zug and Hochschule Luzern's Blockchain Lab.
Luxoft, a DXC Technology Company is a world-renowned company. It has been present on the Polish market for over 13 years. We have offices in Krakow, Warsaw, Wroclaw, and Gdansk. We employ over 2,000 professional experts carrying out projects for over 100 clients from the financial, automotive, medical, tourist industries, etc. We work for many international clients, including the USA, Great Britain, and Switzerland.
So far, Luxoft Poland has made a name for itself as a company that offers work on innovative projects, we offer various experiences in the field of IT, opportunities for rapid development, an extensive training program, and attractive benefits for employees.
At present, 62% of Luxoft Poland employees come from Poland, and 38% from around 50 countries, including Ukraine, Brazil, India, Turkey, Spain, Portugal, Italy, Romania, USA, etc.
At Luxoft, a DXC Technology Company almost 80 percent of employees are experts with the "Senior" experience level, with at least five years of experience. We care about our employees, so every day we try to provide them with the best possible conditions for work and development.
Technology is our passion! We focus on top engineering talent means that you will be working with the best industry professionals from around the world. Because of that, Luxoft is a global family with an epic atmosphere – we love what we do!