AI Software Engineer

Requirements: • 5+ years of experience in software development. • Experience in building scalable and highly available backend services. • Mastery of at least one technology stack. • Experience with the entire software development lifecycle, including requirements gathering, architecture, design, development, testing, code review, deployment, documentation, debugging, and refactoring. • Understanding of software design principles such as SOLID, testability, modularity, and traceability. • Experience working in cybersecurity companies or on security-focused products. • Hands-on experience with AI technologies or integrating AI capabilities into systems. Team & Personality • A true team player (“soul player”) who prioritizes team success over individual credit. • Leads by example, takes responsibility for outcomes, and creates a culture of trust, openness, and technical excellence. • High ownership mindset and strong sense of accountability to customers and production systems. Bonus Points If You Have • Experience applying cybersecurity principles specifically to SaaS environments , including: • Single Sign-On (SSO), MFA, and identity federation (SAML, OAuth, OpenID Connect) • SaaS application configuration and security controls • Monitoring and detection of suspicious or risky behavior within SaaS applications • Integrating with SaaS APIs for security visibility and enforcement • Familiarity with Go, Scala, Python , and modern backend ecosystems. • Experience with microservices , event-driven architectures, and distributed systems. • Experience deploying and operating services on AWS, Azure, or GCP . • Exposure to LLMs, NLP, or agent-based systems , including taking complex solutions from concept to production. • BSc in Computer Science, Software Engineering , or equivalent practical experience.