Senior AI Developer: Test Automation & LLM Pipelines

Luxoft; Schweiz; Hybrid; CHF 130.000 - 180.000; Vollzeit

Zusammenfassung

Luxoft is seeking a Senior AI Developer to design and build AI-powered internal tools for QA automation. The role combines AI engineering with hands-on test automation across Android TV platforms, using Java, Appium, and UiAutomator2 in a hybrid setup.

You will architect RAG pipelines, develop Lambdas in Python, and integrate AI capabilities into CI/CD workflows. Strong expertise in LLM orchestration and prompt engineering is required.

Qualifikationen

• AWS Bedrock hands-on experience with model access and Lambda integration.
• Experience designing and operating AI agents with agentic workflows and multi-tool orchestration.
• End-to-end RAG pipeline implementation: chunking, embedding, indexing, retrieval, generation.
• Proficient in prompt engineering (zero-shot, few-shot, JSON outputs).
• Knowledge of vector databases (OpenSearch, Pinecone, Faiss).
• Attention to guardrails and mitigation of hallucinations in LLMs.
• Understanding of when to use Fine-tuning vs RAG approaches.
• Experience with LangChain or similar orchestration frameworks.
• Strong embeddings expertise and semantic similarity.
• Proficiency in Python for Lambda and data processing.
• Java-based test automation for Android (Appium/UiAutomator2).
• Android/ADB device management and test execution.
• Experience with ReportPortal or similar test reporting tools.
• REST API concepts and practical usage.
• Jenkins/CI-CD pipeline integration and debugging.
• AWS ecosystem (S3, Lambda, API Gateway, IAM, OpenSearch Serverless).
• Docker-based test execution environments.

Aufgaben

• Design and implement AI-powered solutions for automated test failure triage and CBT pipelines.
• Build end-to-end RAG pipelines and document ingestion workflows.
• Develop Python Lambda functions and API Gateway endpoints for AI capabilities in CI/CD.
• Apply prompt engineering best practices and guardrails; evaluate LLM accuracy.
• Leverage Cursor IDE and MCP integrations for AI-assisted test generation.
• Write and maintain automated test suites in Java (Appium/UiAutomator2).
• Develop functional, regression, non-functional, and CBT test suites.
• Triage test failures in ReportPortal and integrate results with QMetry (QTM4J).
• Support CI/CD health via Nightly builds, RC, and release automation in Jenkins.
• Contribute to framework improvements and participate in Kanban ceremonies.
• Present AI demos to stakeholders and document architecture and pipelines in Confluence.

Kenntnisse

AWS Bedrock

AI agents

RAG pipeline

Prompt engineering

Vector databases

LLM guardrails

Fine-tuning vs. RAG

LLM orchestration

Embeddings

Python

Java

Appium/UiAutomator2

Android/ADB

ReportPortal

REST API

Jenkins/CI-CD

AWS

Docker

Tools

OpenSearch Serverless

Pinecone

Faiss

LangChain

Kotlin

Jobbeschreibung

Luxoft is seeking a Senior AI Developer to design and build AI-powered internal tools for QA automation. The role combines AI engineering with hands-on test automation across Android TV platforms, using Java, Appium, and UiAutomator2 in a hybrid setup.

You will architect RAG pipelines, develop Lambdas in Python, and integrate AI capabilities into CI/CD workflows. Strong expertise in LLM orchestration and prompt engineering is required.