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Automation QA Engineer

Role overview

Qualifications

  • 3+ years in Automation Quality Assurance (AQA)
  • Experience testing AI/LLM outputs
  • Experience in data pipeline ETL testing
  • Advanced proficiency in Python

Responsibilities

  • Design and run automated test suites to validate LLM-generated documentation
  • Verify state consistency and schema integrity in Neo4j and Qdrant
  • Build automated test frameworks to track output quality drift
  • Create and maintain evaluation baselines for LLM outputs

Key facts

Other skills

  • Quality Assurance
  • Collaboration
  • Problem Solving

About the company

Ciklum logo

Ciklum

Ciklum is a global Digital Solutions Company for Fortune 500 and fast-growing organisations alike around the world. The company is headquartered in London and has software development centres and branch offices in the United States, Spain, Switzerland, Denmark, Israel, Poland, Ukraine, Czech Republic, Slovakia, Romania, UAE and Pakistan.Ciklum builds tailored digital solutions that leverage emerging technologies for such clients as Just Eat, Flixbus, Metro Markets, EFG International, Zurich Insurance, Lottoland and others.For more information about us visit www.ciklum.com

Company details

Company typeStartup
Company size1001 - 5000

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Job description

Ciklum is looking for an Automation QA Engineer to join our team full-time in Poland.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As an Automation QA Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Project Description:

The Legacy Code Semantic Documentation Project is a 26-week enterprise initiative for a global industrial automation leader. The primary objective is to engineer an automated, AI-assisted pipeline to generate structured, system-level Markdown documentation directly from an undocumented ~400K LOC codebase (spanning IEC 61131-3 languages and ANSI C/C++).

Operating within a dedicated, zero-data-egress secure tenant, the technical architecture combines Tree-sitter AST parsing, Neo4j knowledge graphs, Qdrant vector search, and self-hosted open-weight LLMs (Llama 3.1 / Mixtral family) with NLI-based validation. Delivery is structured across 7 work packages executing over a 6-month period, governed by strict contractual KPIs: ≥95% code coverage, ≥92% NLI-verified factual precision, and ≥90% SME validation acceptance. All outputs align with EU Cyber Resilience Act (EU CRA) requirements for SBOM and source-level traceability.

Responsibilities:

  • AI Output Quality Assurance: Design and run automated test suites to validate non-deterministic LLM-generated documentation against code source truth and strict NLI accuracy thresholds
  • Data Pipeline Validation: Verify state consistency, schema integrity, and data transformation accuracy across batch executions in Neo4j knowledge graphs and Qdrant vector databases
  • Regression & Evaluation Testing: Build automated test frameworks to track output quality drift, hallucination rates, and pipeline performance across code releases
  • Test Dataset Management: Create and maintain evaluation baselines ("golden datasets") to continuously benchmark LLM prompt outputs and retrieval accuracy
  • Cross-Functional Collaboration: Partner closely with Senior AI/ML Engineers and Data Engineers to define automated acceptance criteria, defect logging, and pipeline health checks

Requirements:

  • Professional Experience: 3+ years in Automation Quality Assurance (AQA) with a heavy focus on backend systems, complex data pipelines, or AI-driven applications
  • Mandatory Domain Experience:
    • Direct experience testing AI/LLM outputs (evaluating non-deterministic generated text, confidence scoring, and NLI assertion logic)
    • Direct experience in data pipeline & ETL testing (verifying batch processing, schema integrity, and data transformations)
  • Automation & Scripting: Advanced proficiency in Python and test frameworks such as PyTest
  • Database & Querying Skills: Hands-on experience writing queries to inspect graph databases (Neo4j/Cypher), vector search stores (Qdrant), or SQL databases
  • Engineering Standards: Proficiency with Docker, Git, REST API automation, and integrating tests into CI/CD pipelines
  • Language: Professional proficiency in English (B2+/C1)

What’s in it for you?

  • Strong community: Work alongside top professionals in a friendly, open-door environment
  • Growth focus: Take on large-scale projects with a global impact and expand your expertise
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
  • Flexibility: Enjoy flexibility – full remote working possibilities
  • Care: We've got you covered with company-paid premium medical package through Luxmed
  • Benefits: Access the MyBenefit cafeteria platform, allowing you to choose perks that best suit your lifestyle and needs

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.

Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

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Marcus Rivera

Chief Revenue Officer

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