Fullstack Software Engineer / TypeScript / Golang / AI Security
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Role details
Tech stack
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Job description
This company is looking to hire a Fullstack Software Engineer to develop their innovative AI and computer vision platform focused on modernizing video intelligence and security operations. The role will work across cloud-native platforms, distributed systems, scalable APIs, data processing, and TypeScript frontends. You will have the opportunity to design, build, and scale mission-critical systems that support video analytics, intelligent automation, and real-time decision-making.
Engineers in this role have a chance to join a fast-paced software team where individual contributors have significant influence on production. The role combines backend systems development, frontend application development, and infrastructure design while partnering closely with product, AI, and platform teams. This role will be responsible for helping build the next generation of video and security intelligence solutions., Tech Breakdown
- Backend Development (Go, Python, APIs, Services): 40%
- Frontend Development (TypeScript, React): 20%
- AI & Machine Learning Integrations: 20%
- AWS, Kubernetes & Infrastructure: 15%
- Architecture, Reliability & Performance: 5%
Daily Responsibilities
- Build and maintain backend services supporting large-scale video and sensor data processing
- Deliver AI-powered features including intelligent search, detections, and automated workflows
- Develop and enhance React-based user experiences and frontend applications
- Design scalable APIs and integrations connecting platforms, AI services, and edge systems
- Collaborate on architecture, infrastructure, and system reliability initiatives
Requirements
- Bachelor’s degree in computer science or similar experience
- Strong software engineering experience with Go / Python
- Experience building modern applications with TypeScript / React
- Experience with distributed systems, Kubernetes, AWS, containers, and cloud-native infrastructure
- Strong understanding of software architecture, performance optimization, reliability, and startup environments
Desired Skills & Experience
- Experience developing AI-native applications utilizing multimodal LLMs and computer vision
- Experience integrating ML pipelines into production systems
- Background building greenfield products in startup or high-growth environments
- Experience with video processing, edge devices, sensor platforms, or real-time analytics systems, Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Benefits & conditions
- Competitive compensation package and early-stage equity opportunity
- Flexible paid time off and paid holidays
- Daily team dinners, regular off-site events, and a highly collaborative culture
- Opportunity to help build and scale a market-leading AI platform transforming security and operations.
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