Senior Backend Engineer — Scalable AI Media Platforms

BRAHMA; United Kingdom; On-site; GBP 90,000 - 120,000; Full time

Job summary

Brahma AI is seeking a Senior Backend Engineer to design and scale core server-side services, APIs, and data pipelines powering generative media capabilities. You will collaborate with ML engineers to integrate models and work with DevOps on platform infrastructure.

Occasional frontend touchpoints help expose backend capabilities. Responsibilities include API and system design, data processing, model integration, observability, and performance optimization to ensure low latency and high

Qualifications

• 5+ years of software engineering with backend Python.
• Experience designing scalable RESTful APIs and microservices.
• Strong PostgreSQL design and Redis caching.
• Experience with production observability and debugging.
• Experience with AI tooling and LLM APIs.
• Familiarity with JavaScript/TypeScript basics.

Responsibilities

• Design, build, and maintain high-performance RESTful APIs, microservices, and event-driven architectures for AI-powered media workflows.
• Build robust data pipelines, database schemas, and caching layers for large-scale media content.
• Collaborate with ML researchers to integrate model inference and training workflows into production backend systems.
• Implement application-level logging, metrics, and alerting; participate in performance profiling and incident resolution.
• Optimise server-side code, async queues, and DB queries for low latency and high availability.
• Partner with frontend/product teams to ensure API contracts are intuitive to consume.

Skills

Python

System Design

APIs

Microservices

PostgreSQL

Redis

Observability

AI tooling

JavaScript/TypeScript

Async/Events

Tools

PostgreSQL

Redis

Docker

Kubernetes

Airflow

PyTorch

TorchServe

vLLM

Triton

Job description

Brahma AI is seeking a Senior Backend Engineer to design and scale core server-side services, APIs, and data pipelines powering generative media capabilities. You will collaborate with ML engineers to integrate models and work with DevOps on platform infrastructure.

Occasional frontend touchpoints help expose backend capabilities. Responsibilities include API and system design, data processing, model integration, observability, and performance optimization to ensure low latency and high