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Senior AI Developer (Automators)

Luxoft·Salary not specified

Primary stack

AWS BedrockDockerJenkinsPythonAWSAIRAGAPIAndroidJava

Job description

About the Position

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 (Automators). 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.

Responsibilities

  • Design and implement AI-powered solutions focused on automated test failure triage, AI-based Change-Based Testing (CBT), and 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 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.

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

Nice to Have

  • 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

We Offer

  • Relocation options
  • Experience in an international environment
  • Cross-cultural experience
  • Feedback culture
  • Regular appraisals
  • Annual holiday - 20 or 26 days (depending on seniority)
  • Occasional leave - 1 or 2 days (depending on 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
  • 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
  • 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
  • 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
  • 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
  • Rotation between projects and accounts
  • New career opportunities

About the Company

Luxoft is a global provider of digital transformation services and solutions, empowering businesses to innovate and thrive in the digital age. With a strong focus on technology and expertise, Luxoft helps clients navigate the complexities of digital transformation, leveraging cutting-edge technologies to drive growth and success.

© Luxoft. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

A provider of software development services and innovative IT solutions with a worldwide customer base consisting mainly of large multinational corporations.

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