Senior AI Developer (Automators)

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 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.

What we offer

• Global Relocation - (Relocation options; Experience in an international environment; Cross-cultural experience)

• Recognition and Evaluation - (Feedback culture; Regular appraisals)

• Time Off - (Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority; Occasional leave - 1 or 2 days/ depending on the circumstances; Child care leave - 2 days or 16 hours per year; Absence due to force majeure - 2 days or 16 hours per year; Maternity Leave - 20 weeks; Parental Leave - 41 weeks; Paternity Leave - 14 days)

• Luxoft Training Center - (Expert-led tech courses covering basic to advanced topics; Internal instructor-led soft skills courses; Comprehensive in-house self-learning resources for both soft and hard skills; Access to external self-learning libraries like ProQuest eBook and Udemy for Business; Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy; Custom Learning Programs: upskilling, reskilling, technical mentorship; Leadership Programs for Managers)

• Well-being and Work-life Balance - (Multisport card; Possibility to order Multisport card at the corporate rate for family members; LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.; One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners; Preferential banking offer; Preferential car leasing offer; Cafeteria program discounts for shops, cinema tickets, holiday offers; Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support)

• Health Care - (Private Healthcare Insurance with unlimited access to specialists; Full dental support; Travel Insurance; Possibility to add private healthcare coverage for family members at the corporate rate; Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer; Reimbursement for corrective glasses)

• Company Events and Friendly Environment - (Many fun social activities organized by the Luxoft team offline in your city; Online entertainment events for whole company and local team events; A workplace where you’re treated with respect within a multicultural team)

• Internal Mobility - (Rotation between projects and accounts; New career opportunities)

• Self-Learning Library

• CSR Projects

Other

• Languages: English: C1 Advanced

• Seniority: Senior

Requirements

• 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

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 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