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Full Stack Engineer

DeepRec.ai
Department:Software Engineer
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Mid-Senior level
Estimated Salary:£70,000 - £100,000
Skills:
PYTHONREST APISDISTRIBUTED SYSTEMSMICROSERVICESJAVASCRIPTTYPESCRIPTREACTVUEAWSGCPAZUREDOCKERKUBERNETESPOSTGRESQLREDISNEO4JML SYSTEMSCOMPUTER VISIONMEDIA PROCESSING
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Job Description

Posted on: March 19, 2026

Full Stack Software EngineerLocation: Remote, UK & IRE

We’re partnering with a fast-growing generative AI company building advanced media and creative technology platforms used by global enterprises. They are looking for a Fullstack Software Engineer with strong backend expertise to help develop scalable infrastructure powering next-generation AI products.

This role focuses on building the systems that enable AI model training, inference, and large-scale media processing, while also contributing to intuitive interfaces that expose complex AI capabilities to users. You’ll work closely with ML engineers, researchers, and product teams to bring cutting-edge generative AI technology into robust production systems.

Responsibilities

  • Design and build scalable backend architectures for AI-powered creative tools
  • Develop high-performance APIs and microservices supporting AI inference and media workflows
  • Build frontend interfaces using modern frameworks such as React or Vue
  • Create data pipelines and storage systems for large-scale multimedia content
  • Optimise systems for low-latency AI inference and high-throughput processing
  • Implement monitoring, logging, and observability for production services

Requirements

  • 5+ years experience in fullstack or backend software engineering
  • Strong backend development experience (Python preferred)
  • Experience with REST APIs, distributed systems, and microservices
  • Frontend experience with JavaScript/TypeScript and modern frameworks
  • Knowledge of cloud platforms (AWS/GCP/Azure), Docker and Kubernetes
  • Experience with databases such as PostgreSQL, Redis, or Neo4j

Experience working with ML systems, computer vision, or media processing is a strong plus.

Originally posted on LinkedIn

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