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August 15, 2026

Generative AI Python Developer

Mid • On-site

500 - 500 PLN

Dublin, Ireland

€500 per day

Initial 12-month engagement
5 days on site in Dublin

Description

Develop a next-generation Cyber Generative AI Platform designed to modernise cybersecurity operations, initially focused on Cyber Threat Hunting. The programme will deliver a scalable, extensible GenAI foundation that integrates with existing security operations to enhance threat analysis, accelerate detection, and reduce manual effort.

The platform uses Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Advanced MCP, tool calling, prompt engineering, and fine-tuning to automate complex threat-hunting workflows and improve detection accuracy. It is designed to support future cybersecurity use cases and increase efficiency across security operations.

The Role

As a mid-level or senior Software Engineer, you will design, develop, and deliver software solutions supporting this cybersecurity initiative. Working in an Agile, globally distributed team, you will develop robust, scalable, maintainable software that meets business and compliance requirements.

Key Responsibilities

  • Contribute to story refinement, technical design discussions, and requirements definition.
  • Assist with estimating and planning work throughout the software development lifecycle.
  • Develop proof of concepts to validate technologies, ideas, and approaches.
  • Design, build, test, and maintain high-quality software solutions.
  • Write clean, maintainable, scalable Python code.
  • Execute unit testing and ensure solutions meet defined acceptance criteria.
  • Troubleshoot and resolve technical challenges across the platform.
  • Collaborate with global teams across the US, EMEA, and APAC.
  • Support implementation of AI-driven features for cyber threat detection and analysis.

Required Skills & Experience

  • Strong software development experience using Python 3+.
  • Deep understanding of Python ecosystems, libraries, and frameworks including NumPy, Pandas, and PyTorch.
  • Strong foundation in software engineering principles, algorithms, and data structures.
  • Experience building and supporting highly available, distributed systems.
  • Solid understanding of Agile development methodologies.
  • Experience with SQL and NoSQL databases.
  • Strong problem-solving and analytical skills.
  • Excellent communication skills and ability to work effectively in a global team environment.

Desirable Skills

  • Experience with microservices architecture and containerisation technologies such as Kubernetes.
  • Exposure to AI, Machine Learning, and Generative AI solutions.
  • Experience with Retrieval-Augmented Generation (RAG) and prompt engineering techniques.
  • Knowledge of data science and machine learning frameworks.
  • Experience with AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Contributions to open-source software projects.

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