About Legit SecurityWe're a well-funded cybersecurity company backed by top-tier VCs, solving one of the hardest problems in modern software security: how AI-first organizations can ship fast without security slowing them down. We're building the platform that secures the era where AI writes the code, using AI agents to generate secure code, detect vulnerabilities, and remediate them automatically. It's a fast-moving, category-defining space, and we're leading it.The RoleYou'll be the tech lead of a team of 6 engineers that builds the most technical and complex parts of our platform and runs them at large scale. This is a hands-on technical leadership role: you own the technical direction and the architecture, and you bring real passion for leading people and helping the engineers around you grow professionally. You lead through design docs, code review, and example, and you stay deep in the code.We're looking for someone who has architected systems, shipped to production at scale, and led projects from idea to production, not just implemented someone else's spec. AI is both how you work and what you build: you use it to move faster every day, and you know what it takes to put LLMs in front of customers.Our stack: Go, Python, and C#/.NET on the backend, React/TypeScript on the frontend, PostgreSQL and RabbitMQ, Kubernetes on AWS. What you'll doOwn the technical direction of your team and the technical quality of what it ships.Lead the design of the platform's most complex, multi-component systems: make the hard trade-offs, write the design docs, and drive them through review.Design and ship LLM-powered capabilities end to end: agent architectures, evaluation, guardrails, and the cost, latency, and reliability trade-offs of running them at production scale.Run what you build: share the team's on-call rotation, like every engineer here, and feed what production teaches you back into the design.Turn ambiguous, large-scope problems (most of them involving LLMs and agents) into concrete, shippable plans, and keep scope honest so the team ships predictably.Grow the engineers around you through code review, mentorship, and direct feedback: you raise the bar by example, not authority.Make AI-first engineering practice real for your team: not tool tourism, but everyday productivity.