Senior Fullstack/Founding Engineer

Contents

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

 

Ready to work with us & push the limits of edge AI?

Join the R&D team in Caesarea and help us build the definitive OS for physical environments.

ARGU Product Capabilities

End-to-End Feature

Ownership Ship backend APIs, data pipelines, and frontend interfaces — solo. From a customer pilot conversation to production deployment, you own the full stack without waiting for handoffs.

AI-to-Product Integration

Translate raw model outputs — detections, classifications, tracking — into real operator experiences. Dashboards, alert interfaces, and live video feeds that work in the field, not just in staging.

Architecture & Team

Leadership Own the product architecture decisions and serve as the knowledge focal point. Mentor new hires, document critical systems, and keep the team aligned as we scale from pilot to enterprise.

Build the AI That Watches the World

Argu turns passive CCTV cameras into proactive AI agents — and you'll be the engineer who makes that real. Backed by a16z, we're solving a hard problem: translating free-form natural language into deterministic computer vision pipelines running at 30+ FPS on edge hardware. You won't be maintaining someone else's code. You'll be writing the architecture, talking to customers, and shipping features that run in live deployments across casinos, ports, and smart cities.

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