Full-Stack AI Engineer - Build Production-Ready Systems

Jackalope Digital LLC; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Faculty is seeking a Full Stack Software Engineer to join our National Security and AI Safety unit. You will collaborate across data scientists and product managers to build and scale AI-powered systems that deliver real-world impact for global clients.

This role offers ownership of the entire stack, from frontend to backend, and involves deploying production-ready solutions in cloud environments (AWS/Azure/GCP) using containerization tools like Docker.

Qualifications

• Strong backend development with Python and FastAPI.
• Full-stack experience with TypeScript and frontend frameworks like React or Vue.
• Experience deploying to cloud environments (AWS, Azure, GCP) and containerization using Docker.
• Scientific, pragmatic mindset balancing vision with execution.
• Balance rapid prototyping with long-term maintainability.
• Autonomous, fast-paced environment with ownership.
• Compelling communicator in a team-oriented culture and eager to learn new technologies.

Responsibilities

• Working in cross-functional teams with Data Scientists and Product Managers to deploy technically sophisticated, high-impact software.
• Building reliable, scalable frontend and backend architectures to enable seamless delivery of advanced AI systems.
• Building data pipelines and cloud infrastructure as part of wider AI systems.
• Providing deep technical expertise to customers, helping them navigate complex requirements.

Skills

Python

FastAPI

TypeScript

React

Vue

AWS

Azure

GCP

Docker

Tools

Docker

Job description

Faculty is seeking a Full Stack Software Engineer to join our National Security and AI Safety unit. You will collaborate across data scientists and product managers to build and scale AI-powered systems that deliver real-world impact for global clients.

This role offers ownership of the entire stack, from frontend to backend, and involves deploying production-ready solutions in cloud environments (AWS/Azure/GCP) using containerization tools like Docker.