Senior AI Developer (Automators)

Luxoft Poland; Poland; Hybrid; PLN 220,000 - 280,000; Full time

Benefits offered by this job

Stable employment contract

LuxMed private health and dental care

Life and travel insurance

MyBenefit program

Employee Assistance Program

Car rental options

Copyright-based remuneration

Job summary

Luxoft Poland is seeking a Senior AI Developer to design and implement AI-powered internal tools and hands-on test automation for Android TV platforms. The role combines QA automation with AI-driven improvements, including LLM/RAG pipelines, AWS Bedrock, and CI/CD integration.

You will develop Lambda-based workflows, build AI test-generation and triage capabilities, and contribute to the framework with bug fixes and enhancements. A hybrid work setup is available across Poland.

Qualifications

• AWS Bedrock hands-on: model access and Lambda integration.
• AI agents & agentic tooling knowledge for practical AI systems.
• RAG pipeline end-to-end: chunking, embedding, indexing, retrieval, generation.
• Prompt engineering with structured JSON output (zero/one/few-shot).
• Vector databases knowledge: OpenSearch, Pinecone, or Faiss.
• LLM orchestration: LangChain, LangGraph, or LlamaIndex.
• Embeddings and semantic similarity with Titan Embed or equivalent.
• Python for Lambda and data processing.
• Java: 3+ years of hands-on test automation.
• REST API concepts and usage.
• Jenkins / CI-CD pipeline debugging.
• Docker containerized test execution.

Responsibilities

• Design and implement AI-powered solutions focused on automated test triage.
• Develop AWS Lambda functions and API Gateway endpoints to integrate AI into CI/CD.
• Triage and resolve test failures in ReportPortal and integrate AI results with QMetry.
• Present AI solution demos to stakeholders and engineering leadership.
• Contribute to framework codebase improvements and CI/CD automation.

Skills

AWS Bedrock

AI agents

RAG pipeline

Prompt engineering

Vector databases

Fine-tuning vs RAG

LLM orchestration

Embeddings

Python

Java

ReportPortal

REST API

Jenkins CI/CD

AWS

Docker

Tools

Cursor IDE

QMetry (QTM4J)

Jira

Confluence

OpenSearch

Pinecone

Faiss

Job 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.

• 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
• 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

Mandatory Skills Description:

• 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
• 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
• 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 Skills Description:

• 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

Our Benefits:

• Stable employment based on an employment contract
• Copyright‑based remuneration for Developers, resulting in a higher net salary
• LuxMed private health and dental care
• Life and travel insurance
• MyBenefit program (sports card, well‑being initiatives, and more)
• Employee Assistance Program for you and your family, including psychological consultations, coaching sessions, and support in personal matters
• Car rental options

Learning & Development

• Access to the LuxTalent platform, offering webinars, training sessions, and certified courses
• Internal Mobility Program, enabling rotation between projects, locations, and accounts