ML Platform Engineer (AI)

Company

hirify.global is building A1, a proactive AI assistant for everyday conversations, errands, organization, and workflows.

What you will do

• Build and operate ML infrastructure and platforms powering AI products.
• Design systems for model training, evaluation, deployment, inference, and experimentation.
• Optimize model-serving infrastructure for high throughput, low latency, reliability, and cost efficiency.
• Develop reproducible pipelines for data preparation, training, evaluation, model release, and continuous improvement.
• Build evaluation, benchmarking, observability, monitoring, tracing, and alerting infrastructure for AI/ML workloads.
• Collaborate with AI engineers, researchers, and product engineers to turn model requirements into production-ready systems.

Requirements

• Strong software engineering fundamentals and experience building production systems.
• Experience with ML infrastructure, platforms, or production machine learning systems.
• Experience with model deployment, inference, evaluation, or data pipelines.
• Strong understanding of distributed systems and system reliability.
• Production-quality Python development and the ability to work effectively in ambiguous, fast-moving environments.
• Ownership, experimentation, and continuous improvement mindset.

Culture & Benefits

• Work in a fast-moving environment focused on experimentation and continuous improvement.
• Build reusable platform primitives instead of duplicating infrastructure for each AI product.
• Help evolve the AI stack as new models, architectures, and inference techniques emerge.
• Improve the reliability, scalability, observability, and maintainability of production AI systems.