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CodiLime

Network & Hardware AI Validation Engineer

CodiLime

AI Validation Engineer at CodiLime developing Python-based frameworks for testing low-level SDK APIs. Engaging with clients and utilizing modern AI tools for code generation and validation.

Posted 7/24/2026contractRemote • 🇵🇱 PolandMid-LevelSenior💰 PLN 18,000 - PLN 22,000 per monthWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python development for test automation, leveraging AI coding tools to enhance productivity and efficiency. Possesses strong knowledge of networking concepts and the ability to engage effectively with clients to gather requirements and clarify technical details.

Highest-signal resume keywords
Python DevelopmentTest Automation ScriptingL2/L3 Networking ConceptsAI Coding Tools UsageClient Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonTest AutomationNetwork InterfacesCLIIP RoutingVLANsBGPOSPFSDK API TestingValidation Framework Development
Soft Skills
Clear CommunicationClient Interaction
Tools & Technologies
AI Coding ToolsCursorCopilotLLMs

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Research and define how to implement client requirements and ideas best
  • Engage directly with client architects and end-users through design calls and syncs to gather requirements, clarify edge cases, and shape the future of the testing tool
  • Develop and maintain a Python-based validation framework designed to test low-level SDK APIs
  • Use modern AI coding tools (LLMs, Copilot, Codex, etc.) as your primary workflow to rapidly generate, refactor, and expand test scripts

Requirements

What you’ll need
  • Practical experience in Python development or scripting for test automation
  • Hands-on experience working with physical hardware, router platforms, CLIs, and network interfaces
  • Strong understanding of L2/L3 networking concepts, IP routing, and common protocols (e.g., VLANs, BGP, OSPF)
  • Active daily use of AI tools (Cursor, Copilot, LLMs) to write, debug, and deliver code fast
  • Clear written and spoken English for direct calls with client architects and end-users. (B2 level at minimum, but preferably C1 or C2)

Benefits

Comp & perks
  • Flexible working hours and approach to work: fully remotely, in the office or hybrid
  • Professional growth supported by internal training sessions and a training budget
  • Solid onboarding with a hands-on approach to give you an easy start
  • A great atmosphere among professionals who are passionate about their work
  • The ability to change the project you work on