Senior Software Engineer (AI)

Location: Remote in the United States; listed locations are San Francisco, California and Seattle, Washington.

Salary: $160,900–$260,700 annually in the United States, plus equity.

Company

hirify.global builds developer tools and infrastructure used to build, share, and run applications, including hirify.global Desktop, hirify.global Hub, and hirify.global Scout.

What you will do

• Design, build, and operate production AI agents for code review, test generation, deployment diagnostics, and incident response.
• Integrate LLM providers, agent orchestration frameworks, MCP servers, CI/CD pipelines, observability platforms, and deployment systems.
• Build self-service platform capabilities for deploying AI developer tools, including GitOps pipelines, observability, security controls, and cost management.
• Define and improve reliability, security, performance, monitoring, SLO, alerting, and incident-response practices for AI systems.
• Own features and services from requirements and design documents through production operation and measurable adoption.
• Collaborate with Infrastructure, Security, Data, product engineering, and platform teams while mentoring newer engineers and participating in on-call.

Requirements

• 6+ years of experience building and operating production software systems.
• Hands-on experience with LLM-powered applications, AI agents, or AI-assisted developer tools.
• Knowledge of LLM APIs, prompt engineering, agent orchestration, and practical AI-assisted software development workflows.
• Experience with scalable backend services, distributed systems, developer platforms, Kubernetes, CI/CD, and observability.
• Proficiency in Go, Rust, Java, or Python; Go is preferred.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to have

• Experience with MCP or similar AI agent integration standards.
• Background in developer productivity, DevOps, SRE, or platform engineering.
• Experience with ArgoCD, Grafana, Terraform, Pulumi, AWS, GCP, or Azure.
• Contributions to open-source AI tools, developer tooling, or platform engineering projects.

Culture & Benefits

• Remote-first, distributed, and async-first work environment with flexible scheduling.
• Generous PTO, quarterly Whaleness Days, and an end-of-year Whaleness break.
• Home office support and a US$100 monthly technology stipend.
• Annual learning and development stipend for conferences, courses, and certifications.
• Paid parental leave, equity for full-time employees, and country-specific medical, retirement, and paid-holiday benefits.

Hiring process

• AI-assisted recruiting tools may be used during the process.
• Interview recording is optional and requires explicit consent.