
- Work model
- Not specified
- Experience
- 5+ years
- Employment
- Not specified
- Compensation
- Not disclosed
- Technology signal
- 15 tags
Technology context
15Parsed from the vacancy text; ordered by relevance to this role.
Full listing
Role description
We are looking for a Senior AI Engineer to drive the development and scaling of AI solutions across our product portfolio. In this role, you will work at the intersection of AI, software engineering, and cybersecurity, building intelligent systems that support analysts, engineers, business stakeholders.
You will own AI initiatives end-to-end, from idea to production and help define engineering standards, best practices, and the future direction of AI within the company.
Your Responsibilities
- Lead AI initiatives for cybersecurity products, including NDR (Network Detection & Response) and UEBA (User & Entity Behavior Analytics)
- Design and develop LLM-powered solutions (RAG pipelines, AI agents, prompt engineering, evaluation frameworks)
- Translate complex cybersecurity processes into scalable AI-driven systems
- Build and deploy production-ready AI applications with a focus on reliability and performance
- Define and implement best practices for:
- model evaluation
- monitoring
- responsible AI deployment
- Collaborate with engineers, data scientists, and security experts
- Contribute to building and scaling AI engineering culture and standards
Your Profile
- 5+ years of experience in software engineering, ML engineering, or applied AI
- Strong hands-on experience with:
- NLP and LLMs
- building AI applications in production
- Proven experience with:
- RAG systems
- AI agents
- fine-tuning pipelines
- Strong Python skills
- Experience with frameworks/tools such as:
- LangChain
- LlamaIndex
- OpenAI APIs (or similar)
- Solid understanding of the full ML lifecycle (from prototyping to production and monitoring)
- Experience working in agile, product-oriented environments
- Proactive, independent, and collaborative mindset