Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications – as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
:Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure – the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
This team owns the core backend and frontend infrastructure that powers all user-facing applications – as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
:Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure – the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Requirements:
7+ years of software development experience, with 2+ years leading and mentoring engineers.
Strong expertise in backend development (Go, Python, Node.js, or similar) and familiarity with modern frontend technologies (React, Vue, TypeScript, etc.).
Proven experience designing distributed and web application architectures.
Solid understanding of developer experience – how to build frameworks and tooling that enable other teams to move faster.
Experience working with or integrating AI systems, LLMs, or agent-based architectures.
Excellent collaboration skills and a startup mindset – hands-on, pragmatic, and impact-oriented.
A product-oriented mindset and the ability to work in a fast-paced, team-driven environment.
Advantages:
Experience with agent orchestration, context management, or retrieval-augmented architectures.
Experience in cybersecurity.
Hands-on expertise in Go development.
7+ years of software development experience, with 2+ years leading and mentoring engineers.
Strong expertise in backend development (Go, Python, Node.js, or similar) and familiarity with modern frontend technologies (React, Vue, TypeScript, etc.).
Proven experience designing distributed and web application architectures.
Solid understanding of developer experience – how to build frameworks and tooling that enable other teams to move faster.
Experience working with or integrating AI systems, LLMs, or agent-based architectures.
Excellent collaboration skills and a startup mindset – hands-on, pragmatic, and impact-oriented.
A product-oriented mindset and the ability to work in a fast-paced, team-driven environment.
Advantages:
Experience with agent orchestration, context management, or retrieval-augmented architectures.
Experience in cybersecurity.
Hands-on expertise in Go development.
This position is open to all candidates.
