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Open nowFirst seen 11 hours ago

Full Stack Engineer

gini-apps/66.00023 open roles

Where
Gini-Apps
Work mode
Hybrid
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Your applicationOpen nowFull Stack Engineergini-apps/66.000 · Gini-Apps

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 11 hours ago

The posting

A fast-growing Defense-Tech startup, developing an AI-powered video intelligence platform is looking for a Full Stack Engineer. In this roll, you will be part of building and scalling a mission-critical AI platform, that enables real-time threat detection and investigations across thousands of cameras for government and security organizations worldwide. You’ll own features end-to-end, contribute to architectural decisions, and develop reliable, intuitive experiences for complex AI-powered workflows.

Responsibilities

  • Lead engineering projects from design through deployment.
  • Build and maintain scalable backend services and modern frontend applications.
  • Develop intuitive interfaces for complex data and AI-driven workflows.
  • Contribute to system architecture, performance, reliability, and production readiness.
  • Collaborate with Product, Design, and ML teams.
  • Establish engineering best practices and contribute to technical direction.

Requirements

Requirements

  • 3–5 years of Full Stack development experience.
  • Strong experience with React, TypeScript, and modern frontend development.
  • Backend experience with Python (FastAPI) and PostgreSQL or similar technologies.
  • Knowledge of system design, architecture, and scalable systems.
  • B.Sc. in Computer Science or equivalent.
  • Experience using AI-powered development tools while maintaining high code quality.
  • Proactive, hands-on mindset with strong ownership and problem-solving skills

Advantages

  • Experience with LLMs, Computer Vision, vector databases, or AI agents.
  • Experience with Docker, Kubernetes, and CI/CD pipelines.
  • Experience deploying and managing on-premises solutions.
  • Startup experience or involvement in building products from the ground up.
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