Platform Engineer (AI)

Location: London, England, United Kingdom; New York, New York, United States; San Francisco, California, United States; or Seattle, Washington, United States. Minimum two in-office days per week with occasional team and company offsites.

Salary: $120,000–$250,000 USD annual base salary, plus discretionary bonus, equity, and benefits.

Company

hirify.global builds an end-to-end platform for developing, training, and deploying AI systems, combining developer-first software with large-scale AI compute.

What you will do

• Partner with customers to design, implement, and deploy end-to-end AI systems and workflows on the Lightning Platform.
• Translate ambiguous customer objectives into technical specifications, proof-of-concepts, and scalable production implementations.
• Own technical engagements from discovery and architecture through deployment, monitoring, and expansion.
• Develop and maintain production-grade software services, with a strong preference for Python.
• Build reliable and observable systems optimized for latency, throughput, quality, scalability, and cost efficiency.
• Debug AI systems across inference infrastructure, model behavior, APIs, and distributed workloads while collaborating with product and engineering teams on reusable platform capabilities.

Requirements

• Strong software engineering experience building production full-stack applications with React, TypeScript, and backend services in Python, Go, or similar languages.
• Experience working directly with customers in technical roles such as Forward Deployed Engineering, Solutions Engineering, or Applied AI Engineering.
• Experience with AI/ML pipelines, including model development, evaluation, deployment, and monitoring.
• Experience deploying and operating production AI/ML systems in cloud or distributed environments.
• Familiarity with Docker, Kubernetes, APIs, model serving systems, or distributed inference workloads.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, plus strong communication and technical project-delivery skills.

Nice to have

• Experience with large-scale production AI/ML systems, inference optimization, distributed systems, or GPU-accelerated workloads.
• Experience with vLLM, TensorRT, Ray, LangGraph, vector databases, or workflow orchestration systems.
• Startup or highly cross-functional experience and a track record of rapidly shipping proof-of-concepts and production systems.
• Master’s or PhD in Computer Science, Engineering, Mathematics, AI, or a related technical field.

Culture & Benefits

• Hybrid work model with flexible schedules for office-based teams.
• Medical, dental, and vision coverage, plus wellness and work-from-home stipends.
• Equity, retirement savings matching in the U.S., and pension contributions in the U.K.
• Unlimited PTO, company holidays, floating holidays, and a two-week company-wide winter break.
• Paid parental and family leave, professional development allowance, and a paid sabbatical after four years.
• Complimentary meals at office hubs.