AI Solution Engineer (Cybersecurity)

Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, they employ around 150 professionals who deliver a full range of services including specialist and executive recruitment, employee outsourcing, HR consulting, employer branding, and market research. Their division-based structure combines deep industry expertise with functional specialisation, enabling tailored solutions for companies in every sector.

• Strong hands-on experience with Python development and FastAPI.
• Experience building and integrating AI/LLM-based solutions using APIs or SDKs (e.g. OpenAI, Anthropic).
• Solid understanding of REST API design, integration and security.
• Experience with AI orchestration frameworks such as LangGraph or OpenAI Agent SDK.
• Strong knowledge of CI/CD tools including Jenkins and GitHub Actions.
• Experience with automation scripting using Python, Bash, PowerShell or Groovy.
• Hands-on experience with Infrastructure as Code and configuration management tools such as Ansible.
• Strong understanding of Git workflows and source control best practices.
• Experience building, optimizing and troubleshooting deployment pipelines.
• Knowledge of automated testing practices within CI/CD environments.
• Experience integrating applications with SQL and/or NoSQL databases.
• Ability to work effectively within international and cross-functional engineering teams.
• Strong engineering mindset focused on automation, scalability and operational efficiency.

Nice to have:

• Experience with React and AI-driven frontend solutions.
• Knowledge of observability and monitoring platforms.
• Experience within cybersecurity or enterprise-scale environments.
• Passion for AI innovation and exploring emerging technologies.
• Interest in modern security engineering and resilience solutions.

• Design and develop AI-enhanced cybersecurity and observability solutions using modern AI technologies and frameworks.
• Build scalable backend services and APIs using Python and FastAPI.
• Develop AI-driven monitoring and remediation capabilities integrated with observability and enterprise monitoring platforms.
• Integrate and orchestrate AI agents using frameworks such as LangGraph or OpenAI Agent SDK.
• Design and maintain CI/CD pipelines using Jenkins, GitHub Actions and related DevOps tooling.
• Automate deployment, patching and operational workflows using scripting and Infrastructure as Code practices.
• Collaborate with global engineering, AI governance and technology teams to deliver secure and scalable solutions.
• Ensure alignment with secure coding standards, cybersecurity best practices and internal engineering processes.
• Contribute to automation, reliability and operational excellence initiatives across the cybersecurity platform landscape.
• Stay up to date with emerging AI technologies, frameworks and engineering best practices.