Senior Software/AI Engineer (Cybersecurity)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software/AI Engineer (Cybersecurity): Designing and scaling intelligent systems for a global cybersecurity platform with an accent on agentic workflows, retrieval-augmented pipelines, and LLM-integrated applications. Focus on building production-grade enterprise automation solutions and overcoming the complexities of deploying LLMs into reliable, real-world environments.
Location: Must be based in Central Europe
Company
A global technology services provider specializing in digital security, privacy, and identity protection solutions.
What you will do
- Architect and deliver end-to-end AI solutions ranging from agentic workflows to retrieval-augmented pipelines.
- Develop scalable AI-driven business process automations and LLM-integrated applications.
- Integrate diverse enterprise data sources into intelligent workflows and orchestration frameworks.
- Identify and mitigate AI-specific risks, including security concerns and system failure scenarios.
- Deliver functionality incrementally to ensure business stakeholders can provide rapid feedback.
- Lead technical workstreams and mentor junior team members on AI best practices.
Requirements
- Location: Must be based in Central Europe.
- 3–7+ years of experience in software, AI, or ML engineering.
- Advanced proficiency in Python, including concurrency and performance-aware design.
- Hands-on experience with LLMs, managing API costs, and navigating model behaviors in production.
- Deep understanding of Generative AI fundamentals and orchestration tools like LangChain or LangGraph.
- Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps practices including Docker and Kubernetes.
Nice to have
- Expertise in Retrieval-Augmented Generation (RAG) and citing verifiable claims.
- Experience implementing guardrails against prompt injection and hallucinations.
- Systematic approach to benchmarking and optimizing complex LLM call chains.
- Judgment on the operational trade-offs of agentic vs. conventional architectures.
Culture & Benefits
- Paid vacation, sick leave, and floating holidays.
- Sport and health insurance compensation.
- English language training programs.
- Professional development and training budget.
- Support for charitable initiatives.
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