Forward Deployed Engineer - AI/ML Platforms (AI/ML)

Location: San Francisco, United States

Salary: $250K–$275K per year plus equity

Company

hirify.global commercializes Ray, an open-source distributed computing framework, and provides a platform for scaling machine learning applications from laptops to production clusters.

What you will do

• Design and implement production-grade AI platform architectures on Kubernetes and AWS, Azure, or GCP.
• Partner with customer platform, infrastructure, and ML engineering teams to deploy, operate, and optimize distributed AI workloads.
• Lead implementation engagements covering platform installation, networking, security, observability, scaling, upgrades, and operational readiness.
• Troubleshoot distributed systems issues across infrastructure, Kubernetes, networking, storage, and AI applications.
• Develop automation, tooling, reference implementations, and infrastructure-as-code to improve repeatability and customer success.
• Collaborate with Product and Engineering on customer requirements, product improvements, documentation, architecture guidance, workshops, and enablement.

Requirements

• 5+ years of experience in cloud infrastructure, platform engineering, DevOps, Site Reliability Engineering, or software engineering.
• Experience building, deploying, or operating ML/AI platforms for model training, inference, or large-scale data processing.
• Strong expertise with Kubernetes and containerized production environments.
• Experience operating AWS, Azure, or GCP infrastructure, including networking, security, IAM, storage, and infrastructure automation.
• Experience with Infrastructure as Code and DevOps tooling such as Terraform, Helm, GitOps, and CI/CD pipelines, or similar technologies.
• Strong software engineering skills in Python, Go, Java, or a comparable language, including automation or production services.
• Experience working directly with enterprise customers in consulting, professional services, field engineering, solutions architecture, or another customer-facing engineering role.
• Excellent communication skills with executive and deeply technical stakeholders.
• Passion for solving difficult customer problems and building reusable technical solutions.
• Willingness to travel as needed to work alongside strategic customers.

Nice to have

• Familiarity with distributed computing frameworks such as Ray, Spark, Dask, or Kubernetes-native distributed systems.

Culture & Benefits

• Full-time employment in the Customer Solutions Group / Customer Success organization.
• Direct collaboration with sophisticated AI organizations and their platform, infrastructure, and ML engineering teams.
• Technical work influences the evolution of the hirify.global platform through customer feedback.
• Equity is included in the compensation package.
• Travel may be required to work alongside strategic customers.