Company Description

Rescana is at the forefront of transforming third-party cyber risk management. With its advanced AI-driven platform, Rescana enables companies to autonomously classify, assess, and remediate vendor risks at scale. By optimizing compliance processes and minimizing operational overhead, Rescana allows security teams to focus on their core mission of safeguarding businesses. Their innovative solutions make tackling vendor risks more efficient and effective.

Role Description

We are seeking a talented Full Stack Engineer for a full-time, on-site role located in the Tel Aviv District, Israel. In this position, you will develop, maintain, and enhance both front-end and back-end components of our cutting-edge AI platform. You will contribute to the software development lifecycle, ensure seamless implementation of design concepts, and collaborate closely with cross-functional teams to deliver high-quality solutions that drive value for our users.

Qualifications

• Expertise in Back-End Web Development and API design and implementation
• Proficiency in Front-End Development, including modern JavaScript frameworks
• Strong experience in Full-Stack Development integrating front-end and back-end systems
• Solid debugging skills and experience across the software development lifecycle
• Hands-on experience integrating LLMs (e.g., OpenAI, Anthropic) into production systems
• Experience building AI-powered features such as classification, summarization, or recommendation systems
• Familiarity with prompt engineering and evaluation of LLM outputs
• Experience working with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) architectures
• Understanding of embeddings, semantic search, and context management
• Experience designing scalable pipelines for AI inference and data processing
• Familiarity with model monitoring, evaluation, and performance optimization
• Strong problem-solving skills, attention to detail, and ability to work in a collaborative, team-oriented environment
• End-to-end ownership of features, from system design and architecture to production deployment, monitoring, and continuous improvement

Nice to have

• Experience with AI-driven platforms or cybersecurity / risk management domains
• Experience integrating AI with structured and unstructured security data sources