Solutions Engineer (AI)

Location: London, UK; hybrid is indicated in the listing, while the detailed description specifies a full-time on-site role. Applicants must have legal authorization to work in the UK.

Company

hirify.global develops YOLO-based computer vision and AI models used by developers, researchers, and companies worldwide.

What you will do

• Own technical discovery, translate customer needs into architectures, and define measurable success criteria.
• Evaluate customer data and design model training, inference, and deployment strategies.
• Build Python prototypes and production workflows using YOLO, OpenCV, PyTorch, and Docker.
• Deploy and troubleshoot solutions across Linux, macOS, Windows, cloud, and edge environments.
• Deliver technical demos, workshops, architecture reviews, and proof-of-concepts for technical and executive audiences.
• Turn customer solutions into reusable examples, deployment guides, integrations, and documentation while sharing feedback with Product and Engineering.

Requirements

• Strong Python skills and practical experience with YOLO, OpenCV, PyTorch, and computer vision.
• Experience training, optimizing, evaluating, and deploying machine learning models.
• Experience with Docker, Git, REST APIs, Linux, cloud platforms, and edge workflows.
• Experience deploying across Linux, macOS, and Windows.
• Ability to deliver technical demos, workshops, architecture reviews, and proof-of-concepts.
• Strong communication skills with engineers, operators, executives, and other non-technical audiences.

Nice to have

• Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerator experience.
• Experience with MLOps, model monitoring, CI/CD, or observability.
• Familiarity with AWS, Azure, GCP, serverless systems, or managed inference platforms.
• Experience integrating OpenAI or Anthropic APIs into customer tools.
• Open-source contributions or developer community experience.

Culture & Benefits

• High-performance environment focused on ownership, speed, precision, teamwork, and measurable impact.
• Flexible working hours and collaboration with teams across Sales, Customer Success, Product, and Engineering.
• 24 vacation days, a birthday day off, and local holidays.
• Dedicated personal and professional development budget.
• Apple MacBook Air or Pro, Apple Studio Display, and AirPods Pro 3.
• Opportunity to work on computer vision technology powering applications across millions of devices.

Hiring process

• Progression is expected through customer discovery, technical demos, proof-of-concepts, and project kickoffs.
• The role reports to the Head of Customer Success and Implementation.