Senior Fullstack/Founding Engineer
About Argu Argu turns passive CCTV cameras into proactive Agents. We don’t just detect objects – we enable customers to interact with and program their environment through natural language. Backed by a16z , our R&D team faces a massive technical challenge: translating free-form LLM intent into highly optimized, deterministic computer vision tracking pipelines that can run on deeply constrained edge hardware (NVIDIA Jetson, embedded GPUs) at 30+ FPS. The role Argu turns passive CCTV cameras into proactive Agents. We don’t just detect objects - we enable customers to interact with and program their environment through natural language. Backed by a16z, our R&D team faces a massive technical challenge: translating free-form LLM intent into highly optimized, deterministic computer vision tracking pipelines that can run on deeply constrained edge hardware (NVIDIA Jetson, embedded GPUs) at 30+ FPS. What You’ll Do Build and ship backend client-facing features end-to-end - from backend APIs, data pipelines, and frontend edits. Translate requirements from active customer pilots and deployments into clean, production-ready code. Integrate AI model outputs (detection, classification) into actionable product experiences. Develop operator dashboards and alert interfaces used in live deployments. Own the product architecture Mentor new hires and serve as a knowledge focal point Participate in client calls to understand constraints and validate solutions Collaborate closely with the CTO and research team to close the gap between model capability and product UX. Required Skills Strong Python backend development - APIs, async pipelines, clean architecture. Frontend proficiency in React and TypeScript — you can own a UI feature without a dedicated frontend engineer. Experience shipping features in fast-moving environments with real users. Comfort working across the stack and picking up new domains quickly. Good communication skills — you can talk to a client and a researcher in the same day. Leading mentality – mentoring, explaining, documenting and keeping the team aligned Bonus Points Familiarity with video pipelines: RTSP, FFmpeg, or live video processing. Experience with Docker-based deployments (cloud or on-prem). Background in computer vision or ML-adjacent products. Exposure to industrial or enterprise environments. Who You Are You ship. You don’t wait for perfect specs — you clarify, decide, and build. You’re comfortable being the person who owns a feature from conversation to deployment. You care about the product working in the real world, not just passing tests. You thrive in early-stage environments where your judgment matters. You're the type of person we can have a beer with after work
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