Build the real-time AI governance control plane trusted by global enterprises
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.
You’ll work on a cloud-native AI governance platform designed to intercept, classify, and control high-velocity AI interactions in real time — without revealing the client’s identity.
The platform analyzes user prompts, AI responses, coding-agent activity, and enterprise search outputs flowing across HTTP streams, IDE extensions, LLM APIs, and internal microservices. It applies need-to-know access filtering, policy transformations, and audit controls within sub-second decision windows, ensuring sensitive knowledge never crosses boundaries it shouldn’t. As enterprises adopt generative AI at scale, traditional access-control models break down. This product introduces a new security layer purpose-built for AI systems, enabling organizations to innovate quickly while maintaining strict governance over their data and models.
You will be joining a core engineering team that is building a platform with real industry impact — one shaping how AI responsibly integrates into the modern enterprise.
We are looking for a Principal Full-Stack Engineer (Backend-focused) to join a small, high-caliber team developing the core components of this real-time governance system.
Your primary focus will be backend engineering with Node.js/TypeScript — building high-performance services, scalable APIs, distributed processing flows, and policy-evaluation pipelines. When needed, you’ll contribute to the React-based frontend to deliver features end-to-end. You will take ownership of major technical decisions, collaborate with engineering, product, DevOps, and AI/security teams, and play a key role in evolving a platform built for speed, accuracy, security, and reliability. This includes deep architectural involvement in a multi-service production environment, where service-to-service communication, messaging/queues, and scalability are core parts of the platform and directly shape how the system is structured and behaves under real production load.
✔ Mission-critical product defining how enterprises safely adopt AI
✔ Deep engineering challenges — real-time pipelines, distributed flows, policy engines
✔ Modern stack: Node.js, TypeScript, React, PostgreSQL, Docker, cloud-native tooling
✔ Focus on architectural thinking: system structure, service-to-service communication, and production scalability
✔ Work on real multi-service production systems
✔ High degree of autonomy and technical ownership
✔ Work closely with an elite product and AI/security team
✔ Fully remote, flexible environment with strong operational support