Senior Backend Engineer - AI-Powered Media Infrastructure

DNEG

Greater London

On-site

GBP 90,000 - 120,000

Full time

14 days+
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Job summary

Brahma AI is building enterprise-grade generative media solutions, combining MAM workflows with scalable backend services in the cloud. We are seeking a Senior Backend Engineer to architect and scale core server-side services, APIs, and data pipelines that power our AI-driven media processing stack.

You will collaborate with ML researchers and DevOps, optimize performance, and ensure low-latency, high-throughput systems.

Qualifications

  • 5+ years of software engineering experience with server-side Python.
  • Experience designing scalable RESTful APIs, microservices, and async/event-driven systems.
  • Strong PostgreSQL design and Redis caching.
  • Production observability including logging, monitoring, alerting.
  • Experience with AI tools and LLM APIs.
  • Understanding AI model training vs inference latency.
  • Basic frontend knowledge to collaborate with UI engineers.

Responsibilities

  • Design, build, and maintain RESTful APIs, microservices, and event-driven architectures for AI-powered media workflows.
  • Build data pipelines, schemas, and caching layers (PostgreSQL, Redis) for large-scale media.
  • Integrate model inference and training workflows into production backend systems.
  • Implement logging, metrics, and alerting; collaborate with DevOps on incidents.
  • Optimise server-side code, async queues, and DB queries for low latency and high throughput.
  • Work with frontend/product teams to expose API contracts clearly.

Skills

Python backend
APIs & Microservices
PostgreSQL
Redis
Observability
AI tooling
LLM APIs
JavaScript/TypeScript basics

Tools

Docker
Kubernetes
Airflow
Parquet

Job description

Brahma AI is building enterprise-grade generative media solutions, combining MAM workflows with scalable backend services in the cloud. We are seeking a Senior Backend Engineer to architect and scale core server-side services, APIs, and data pipelines that power our AI-driven media processing stack.

You will collaborate with ML researchers and DevOps, optimize performance, and ensure low-latency, high-throughput systems.

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