• Lead the development process from design through implementation to production delivery.
• Conduct hands-on applied research in areas such as NLP, LLMs, and agent-based systems, exploring new approaches that can be translated into real product capabilities.
• Own backend services end-to-end, including architecture, scalability, reliability, and performance.
• Work closely with Product, DevOps, Data, and Client Services to maximize the impact of your features.
• Collaborate with team members on complex technological and architectural decisions.
• Design and build backend platforms that support AI-driven features and agent-based systems in production.
• Translate research concepts and experimental models into robust, maintainable, and observable production services.

• 5+ years of experience in professional software development.
• Proven experience building scalable, reliable, and highly available backend systems.
• Strong experience across the full software development lifecycle: requirements, architecture, design, implementation, testing, deployment, monitoring, and ongoing maintenance.
• Deep understanding of software design principles: SOLID, modularity, testability, observability, and maintainability.
• Experience working in cybersecurity companies or on security-focused products.

AI, NLP & Research-Oriented Experience

• Hands-on experience working with AI-powered systems, beyond simple API consumption.
• Experience collaborating with research or data teams to productionize NLP or ML models.
• Practical knowledge of Natural Language Processing (NLP) concepts (e.g., text classification, embeddings, information extraction, LLM-based solutions).
• Experience bringing AI agents from prototype to production, including:
• Designing agent architectures and workflows
• Managing model inference, latency, cost, and reliability
• Handling versioning, monitoring, and safe rollouts
• Integrating agents into backend services and distributed systems
• Ability to bridge the gap between research experimentation and production-grade engineering.
• Team player with strong communication skills and a mindset of shared ownership and continuous learning.

Bonus Points If You Have

• Experience with Go, Scala, Python, and building production services in one or more of these languages.
• Experience with microservices, event-driven architectures, and distributed systems.
• Experience running services on AWS, Azure, or GCP.
• Familiarity with MLOps, model deployment, and production monitoring for ML or NLP systems.
• Experience in Agile environments (pair programming, code reviews, TDD).