Software Engineer - ML Infrastructure (AI)

Location: Remote within the United States or Pittsburgh, PA

Salary: $130,000–$185,000 plus performance-based bonus and equity.

Company

hirify.global develops AI model evaluation, real-time threat detection, and adaptive adversarial red teaming agents to support the safe and secure deployment of AI systems.

What you will do

• Build and maintain infrastructure, services, and deployment workflows for moving ML models from experimentation into production.
• Develop internal tools and automation for model training, experimentation, evaluation, and iteration.
• Design and optimize model evaluation pipelines, experiment orchestration, reproducibility, and performance monitoring systems.
• Partner with ML engineers and researchers to identify infrastructure bottlenecks and accelerate model development and deployment.
• Translate customer requirements and policy-driven workflows into practical, scalable engineering solutions.
• Improve the reliability, scalability, and observability of ML systems.

Requirements

• Experience building and maintaining production-grade systems, services, or infrastructure.
• Experience with Python and backend systems, APIs, and infrastructure code.
• Familiarity with cloud infrastructure, distributed systems, containerization, or platform engineering.
• Knowledge of ML workflows, including model training, inference, evaluation, or deployment.
• Ability to collaborate with ML engineers and researchers and translate complex technical requirements into reliable software.
• Ability to take ownership, navigate ambiguity, identify problems independently, and deliver practical solutions.

Nice to have

• Experience with ML infrastructure, ML platforms, or internal developer tooling.
• Familiarity with Kubernetes, Docker, AWS, or GCP.
• Experience with Ray, Kubeflow, MLflow, or Weights & Biases.
• Experience with model serving, distributed training, inference infrastructure, or large-scale evaluation pipelines.
• Exposure to AI safety, AI security, adversarial testing, or model behavior evaluation.
• Experience translating customer requirements, security constraints, or policy considerations into technical implementations.

Culture & Benefits

• Full-time role with flexible work arrangements in the United States or from the Pittsburgh office.
• 401(k) with up to 4% matching.
• Health, dental, and vision coverage.
• 28 days of annual leave including vacation and holidays.
• Catered lunches at the Pittsburgh office.
• Visa sponsorship is available for exceptional candidates.

Hiring process

• Application review with a response within 10 days; submit a resume, portfolio link, and answers to the application questions.
• Recruiter screen, followed by a technical or hiring manager interview and a role-related assessment.
• Experience and culture interview, reference checks with 3–5 provided references, and offer.