Staff AI Platform Engineer

Location: Remote within the United States

Salary: $149,000–$271,500 USD per year, with geographic tiers and additional equity compensation.

Company

hirify.global develops a mobile family-safety platform with location sharing, safe driver reports, crash detection, emergency dispatch, Tile tracking devices, and Pet GPS trackers, serving more than 107.7 million monthly active users across over 180 countries.

What you will do

• Define the vision and reusable pathways for AI-native engineering across the organization.
• Build and operate the agent runtime, orchestration platform, MCP gateway, connectors, and LLM gateway.
• Implement identity, authorization, auditability, tenant isolation, data handling, and secure access to internal systems and SaaS tools.
• Develop evaluation, regression, observability, tracing, drift-detection, cost-attribution, and quality-monitoring infrastructure.
• Define production inference standards covering serving, latency, reliability, provider management, SLOs, dashboards, deployment pipelines, and incident response.
• Create shared memory, retrieval, knowledge, SDK, template, documentation, and internal enablement capabilities while mentoring engineers and partnering with AI DevTooling and Agentic PDLC.

Requirements

• 8+ years of engineering experience, including 3+ years building platforms or infrastructure used by other engineers.
• Experience building and operating production AI systems, including agentic workflows, LLM integrations, retrieval, and evaluation.
• Working knowledge of MCP and agent orchestration, including controlled connections between agents and internal systems.
• Strong backend and cloud fundamentals, including distributed systems, APIs, infrastructure as code, reliability, and observability.
• Experience running AI inference in production, including latency, reliability, provider management, and cost tradeoffs.
• Sound judgment in deciding which capabilities warrant shared platform investment.
• Clear written communication and the ability to create precise design documents and standards for other engineers and agents.
• Professional use of AI coding assistants for analysis, coding, refactoring, testing, codebase navigation, and documentation, with accountability for reviewing and shipping generated code.

Nice to have

• Experience with non-human identity, service accounts, or agent authorization models.
• Experience building or operating agent orchestration, deployment, or MCP-style connector platforms.
• Familiarity with SOC 2, GDPR, or similar compliance frameworks.
• Background in ML infrastructure or model observability.
• Experience with consumer-scale products or privacy-sensitive data.

Culture & Benefits

• Remote-first work environment for employees working within the United States.
• Medical, dental, vision, life, and disability insurance fully paid for employees, plus a 401(k) matching program.
• Paid parental leave, flexible PTO, company holidays, and summer and winter shutdowns.
• Mental wellness and employee assistance programs, learning and development programs, and equipment and remote-work support.
• AI coding tools are treated as a professional standard, with expectations for continuous learning, sharing effective practices, and responsible ownership.
• Equal opportunity workplace guided by integrity, direct communication, member-focused decisions, and high-impact execution.