Senior AI Engineer
- Design, develop, and maintain AI-powered applications, agents, and backend systems
- Build intelligent workflows and agentic systems integrated into Check Point networking and security products
- Develop scalable APIs, services, and infrastructure supporting GenAI applications in production
- Integrate LLMs, RAG pipelines, vector databases, and orchestration frameworks into robust production systems
- Collaborate closely with AI researchers, software engineers, infrastructure teams, and product groups to deliver end-to-end AI solutions
- Improve scalability, reliability, observability, and operational excellence of AI systems
- Explore and adopt modern AI engineering methodologies, frameworks, and tooling
- Participate in architectural and technical decisions shaping the future of AI across Check Point products
- 5+ years of experience as a Software Engineer
- 1–2 years of hands-on experience building GenAI or LLM-based applications
- Strong proficiency in Python and modern backend software engineering best practices
- Experience building scalable distributed systems and cloud-native applications
- Hands-on experience with GenAI technologies such as LangChain, LangGraph, MCP, RAG systems, vector databases, and agent frameworks
- Experience integrating LLMs and AI services into production environments
- Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP
- Strong understanding of APIs, software architecture, and system design
- Familiarity with networking and cybersecurity domains — strong advantage
- Strong ownership, curiosity, and ability to work in fast-moving environments
- BSc in Computer Science or related field — advantage