Senior Software Engineer, AI Automation

Location: Remote within the United States

Base salary: $130,000–$195,000 per year, depending on geographic market, qualifications, experience, and other factors.

Company

hirify.global provides active insurance coverage and cybersecurity tools to help businesses prevent and manage digital risk.

What you will do

• Lead the technical design and delivery of production-grade AI agents, reusable skills, and automation workflows for internal teams.
• Translate ambiguous business processes, judgment calls, and edge cases into reliable, maintainable software.
• Design integrations between agents and systems of record using MCP and comparable tool-integration frameworks.
• Define architecture, interfaces, data contracts, evaluation strategies, quality baselines, and operational standards for production AI systems.
• Build controls for permissions, observability, auditability, human review, failure containment, and rollback.
• Partner with data engineering, business stakeholders, product, and engineering teams; mentor engineers and document systems and operating practices.

Requirements

• 7+ years of hands-on software engineering experience, including substantial recent experience building and shipping LLM-backed applications used by real users.
• Experience taking AI agents or multi-step automation workflows from prototype through reliable production operation.
• Strong Python engineering skills and practical SQL expertise, including the ability to work directly with production data models.
• Deep experience with prompting, tool use, agentic loops, structured outputs, multi-step workflows, error handling, and production deployment.
• Experience designing and operating systems integrated with business-critical systems of record.
• Strong judgment regarding evaluation methodology, reliability, safety controls, and responsible AI deployment tradeoffs.
• Production engineering fundamentals across Git, CI/CD, containers, deployment, monitoring, testing, permissions, and rollback.
• Ability to lead technical work in ambiguous environments, influence stakeholders, and turn incomplete requirements into practical, high-quality solutions.
• Clear written and verbal communication skills for working with technical and non-technical partners.

Nice to have

• Experience building or maintaining MCP servers, agent platforms, or reusable tool and skill frameworks.
• Experience designing evaluation harnesses, test datasets, and monitoring for LLM-backed systems.
• Background in internal tools, solutions engineering, professional services, startup environments, or founding teams.
• Familiarity with Linear, Jira, Zendesk, Salesforce, or Snowflake.
• Experience in insurance, fintech, cybersecurity, or another regulated environment where correctness, traceability, and controls have meaningful business impact.
• Experience mentoring engineers or acting as a technical lead for complex cross-functional initiatives.

Culture & Benefits

• Remote-first and highly inclusive work environment.
• 100% medical, dental, and vision coverage.
• 401(k) retirement plan with competitive employer match.
• Flexible PTO, paid parental leave, and paid leave for birthing parents.
• Annual home office stipend and WeWork access.
• Mental and physical health programs, including One Medical, Headspace, and Wellhub.