AI Systems Infrastructure Engineer (IC4)

Location: EMEA - U.K.

Company

hirify.global develops browser and agent runtime security platforms that protect organizations from cyberattacks across the web, documents, email, and AI-agent workflows.

What you will do

• Architect, build, and optimize production serving pipelines for Small Language Models and traditional ML models using quantization, batching, and GPU acceleration.
• Own and scale backend microservices delivering real-time prompt-injection and threat detection.
• Build consumption-based monitoring, tenant rate limiting, and runtime guardrail infrastructure.
• Manage Kubernetes and GPU cluster replicas to reduce cold-start times and infrastructure costs.
• Build continuous evaluation, automated retraining, model CI/CD, and regression gates against live benchmarks.
• Refactor service boundaries, service-to-service authentication flows, and backend database configurations.

Requirements

• 5+ years of software engineering experience building distributed backend systems or high-throughput microservices.
• Proven experience with model serving and inference optimization, including technologies such as TensorRT, vLLM, ONNX Runtime, or Triton Inference Server.
• Strong programming experience in Python, Go, or C++.
• Hands-on expertise with Kubernetes, container orchestration, GPU scheduling, and infrastructure autoscaling.
• Solid understanding of CI/CD pipelines, MLOps/LLMOps principles, and cloud infrastructure using AWS or GCP.

Nice to have

• Experience building consumption-based rate limiting or multi-tenant guardrail architectures.
• Familiarity with database refactoring, authentication protocols, and backend technical debt remediation.
• Background in cybersecurity, threat detection engines, or DLP/PII filtering platforms.
• Experience benchmarking runtime and accuracy trade-offs between local SLMs and cloud LLMs such as Vertex AI.
• Experience with AWS, GCP, Terraform, Kubernetes, and Linux.

Culture & Benefits

• Full-time position in the R&D department.
• Culture centered on Proactive Leadership, Straight Talk, United Impact, Elevated Talent, and Customer-Compelled decision-making.
• Emphasis on ownership, direct communication, cross-functional collaboration, high standards, and customer-critical execution.