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Onsite or remote • London+1💼 Full-time🗓 2026-06-25 → 2026-09-26

Core

Design and develop high-performance APIs, backend services, and data pipelines for AI workflows, including AI agents and model deployment.

Role type

Senior IC backend engineer (AI infrastructure)

Builds

Production-ready AI services, data pipelines for unstructured data, and AI agent orchestration systems

Domain

AI/ML infrastructure, cloud-native systems, distributed computing

Deliverable

production ML models | infrastructure

Required skills

Golang, cloud infrastructure, container orchestration, API design, distributed systems, observability

Preferred skills

ML frameworks, AI agent technologies, message queues, zero-trust networking, serverless architecture

Technologies

GCP, AWS, Azure, Kubernetes, Docker

Responsibilities

Design and develop high-performance APIs and backend services for AI workflows; Build robust data pipelines to process large-scale unstructured data; Integrate LLMs, VLMs, and other ML models into production-ready services; Ensure system performance, observability, and fault tolerance in distributed environments; Partner with ML engineers and product managers to deliver end-to-end features; Help shape engineering culture and long-term architecture

Seniority

Senior, hands-on IC

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