Member of Technical Staff, Full Stack

Our client, an innovative technology organisation operating in the artificial intelligence and video intelligence sector, is seeking a Member of Technical Staff, Full Stack to join its core engineering team on a permanent basis. The role will involve designing, building and scaling systems that process video and sensor data, while delivering AI-powered features for real-world security and operations.

Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.

Key Responsibilities:

Build and maintain backend services that ingest, process and serve video and sensor data at scale
Develop AI-native features, including natural-language video search, real-time detection and agentic workflows using multimodal large language models and computer vision
Design and build scalable APIs connecting machine learning pipelines with edge device fleets
Develop user-facing applications using TypeScript and React, including modern tools such as React Query and Tailwind
Contribute to infrastructure, system architecture and cloud-native engineering decisions
Work on distributed systems, real-time processing, high availability and system performance
Collaborate effectively with AI, product and infrastructure teams to deliver reliable features
Support API testing and maintain high standards of quality, reliability and clean architecture

Job Requirements:

Strong experience in software engineering using Go, Python or C++
Proficiency in designing and building scalable backend systems and APIs
Practical experience with TypeScript, React and modern frontend development
Understanding of distributed systems, containers and cloud-native infrastructure
Experience working with Kubernetes, AWS and infrastructure as code, such as Pulumi
Knowledge of artificial intelligence, multimodal large language models and computer vision
Experience with API testing and a strong understanding of software quality practices
Strong awareness of system performance, reliability and maintainable architecture
Experience building systems from scratch in a start-up or scale-up environment
Excellent written and verbal communication skills in English, with the ability to influence at all levels
Resilience in challenging, fast-paced environments and the ability to work successfully onsite
A degree in Computer Science or a related discipline, or equivalent relevant experience

Benefits:

Flexible paid time off and paid holidays
Early-stage equity opportunity within a rapidly growing technology organisation
Referral bonus scheme
Daily team meals and regular team off-sites
Access to modern Apple products and a comprehensive technology stack
Opportunity to work on mission-critical AI and computer vision solutions with real-world impact

If you are a full stack software engineer with experience in Go, C++, Kubernetes, APIs and AI-driven systems, this is an opportunity to contribute to an ambitious video intelligence platform. xrexnqw Apply now to join our client's core engineering team.