Forward Deployed Engineer (AI)

Location: On-site at the customer's office in Cambridge, UK; hybrid work is listed, with travel as needed.

Salary: £115k–£135k per year plus equity.

Company

hirify.global is a startup building foundational technology for performance, scalability, and resiliency in large-scale AI data center clusters.

What you will do

• Own the technical delivery and production operation of the software for a strategic customer.
• Deploy, integrate, troubleshoot, and optimize GPU/XPU clusters, high-speed fabrics, schedulers, and orchestration layers.
• Guide software upgrades, cluster expansion, feature rollouts, and root-cause analysis for production issues.
• Build runbooks, integration guides, automation, reference architectures, demo environments, and technical collateral.
• Write and test Python, Bash, API integrations, fixes, and field tooling.
• Translate customer problems into product requirements and support RFPs, technical evaluations, proof-of-concept deployments, and customer briefings.

Requirements

• 5+ years of hands-on infrastructure engineering experience in a forward deployed engineering, SRE, platform engineering, solutions architecture, or similar role.
• Experience deploying and operating AI data centers with GPU/XPU clusters, high-speed interconnects, job scheduling, and training or inference workloads.
• Strong debugging and software problem-solving skills for complex distributed systems, with production-quality Python and Bash scripting.
• Hands-on experience with Kubernetes, Slurm, Tinkerbell, Canonical MaaS, observability stacks, or infrastructure management platforms.
• Deep proficiency with Linux, containers, and APIs, plus experience defining and shipping features with engineering teams.
• Willingness to work on-site with the customer in Cambridge, UK and travel as needed.

Nice to have

• Experience as a forward deployed or embedded engineer dedicated to a large customer.
• Experience taking early-stage products into hyperscale, neocloud, or AI lab environments.
• Knowledge of inference serving, KV-cache behavior, disaggregated serving, GPU utilization analysis, Prometheus, Grafana, OpenTelemetry, and infrastructure analytics pipelines.
• Background at an AI infrastructure software vendor, GPU cloud provider, networking vendor, or hyperscaler.
• Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.

Culture & Benefits

• Work alongside experienced builders and operators in a startup environment.
• Collaboration is based on trust, integrity, respect, shared responsibility, and accountability.
• Role includes direct collaboration with customer infrastructure, SRE, platform engineering, and senior infrastructure leaders.
• Equity is included alongside the base salary.