Low-Latency AI Backend Engineer — Agent Systems

Bjak; United Kingdom; On-site; GBP 50,000 - 70,000; Full time

Job summary

Bjak in the United Kingdom is seeking a Backend Engineer to build and maintain AI-powered backend systems. You will work on optimizing performance and reliability, designing inference pipelines, and ensuring smooth operations in production. Ideal candidates have strong backend engineering skills, familiarity with AI technologies, and experience managing high-throughput services. This role challenges you to not only ship features but also enhance them based on real production behavior, making a tangible impact on AI-driven user experiences.

Qualifications

• Strong backend engineering fundamentals in production environments.
• Experience running high-throughput, low-latency services.
• Familiarity with AI inference patterns (LLMs, embeddings, multimodal).
• Comfortable debugging distributed systems under load.
• Bias toward shipping and learning from production behavior.

Responsibilities

• Build and operate backend systems that serve AI-powered features in production.
• Design inference pipelines, orchestration layers, and service boundaries around models.
• Own production concerns: monitoring, logging, alerting, and incident response.
• Optimize latency and throughput across inference, caching, batching, and streaming.

Skills

Backend engineering fundamentals

High-throughput service experience

AI inference patterns familiarity

Debugging distributed systems

Tools

Python

NodeJs

Pytorch

SQL

noSQL

Kubernetes

Docker

Job description

Bjak in the United Kingdom is seeking a Backend Engineer to build and maintain AI-powered backend systems. You will work on optimizing performance and reliability, designing inference pipelines, and ensuring smooth operations in production. Ideal candidates have strong backend engineering skills, familiarity with AI technologies, and experience managing high-throughput services. This role challenges you to not only ship features but also enhance them based on real production behavior, making a tangible impact on AI-driven user experiences.