AI-Driven Backend Engineer

Job description

We’re Miggo — a cybersecurity startup on a mission to stop app-layer breaches before they happen. Founded in 2023 and backed by top-tier cyber VCs, we’re building the world’s first Application Detection & Response (ADR) platform. Why? Because 80% of cyber attacks target the app layer, and current tools just don’t cut it. Miggo brings visibility into how apps actually behave at runtime, spotting risky flows and shutting down threats in real time. If you're excited to shape the future of AI-driven application security from the inside out — join us. At Miggo, we live by four core principles: We make it customer-focused , putting user needs at the heart of everything we build. We make it happen , driven by a can-do mindset and obsession with winning. We make it better , always pushing boundaries, learning fast, and owning our impact. We make it together , one team that collaborates, laughs, and thrives on diverse perspectives What you'll do Miggo is looking for a Senior Backend Engineer with a strong passion for AI and intelligent systems to join our growing R&D team. In this role, you’ll be building the backend foundation that powers our AI-enhanced security analytics , autonomous detection , and real-time decisioning systems . You’ll work closely with AI engineers, product, and security experts to bring agentic intelligence into Miggo’s runtime platform — transforming how modern apps defend themselves. You’ll architect and implement services that scale to massive volumes of runtime data, integrate large language models (LLMs), and support RAG-based workflows for contextual understanding and response. You’ll Be Great For This Role If You Love To: Design and build scalable, resilient backend services that power Miggo’s AI-driven runtime security platform. Integrate LLMs and agentic AI components into production environments to enable autonomous detection and remediation capabilities. Design evaluation frameworks for measuring model performance and reliability in real-world conditions. Develop Retrieval-Augmented Generation (RAG) pipelines tailored to application security data. Own backend architecture decisions — from data modeling to performance optimization — across Node.js, Python, and cloud-native environments. Contribute to our infrastructure, leveraging CI/CD, Kubernetes, Docker, and modern observability practices. Mentor peers and help shape Miggo’s AI engineering culture. What you have 5+ years of backend development experience , ideally building scalable and distributed systems. Deep expertise in Python and modern cloud-native architectures. Proven experience with AI-enhanced systems — integrating or working with LLMs , RAG , or machine learning pipelines . Understanding of data-intensive architectures , including streaming, caching, and dataflow optimization. Strong collaboration and communication skills, with the ability to translate AI concepts into production-grade systems. Advantage : Familiarity with vector databases , prompt engineering , and evaluation frameworks for AI models. Advantage : Background in cybersecurity , runtime analysis , or agentic AI design patterns. Why You'll Love Working at Miggo? At Miggo, you’ll join a team that’s pioneering the next era of application security — one where AI and runtime intelligence work hand in hand to protect modern software. You’ll have autonomy, real ownership, and the opportunity to shape both our platform and the future of intelligent cybersecurity. We’re small enough for you to make a visible impact — and bold enough to tackle one of the hardest challenges in the industry.