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Coalition

Active cyber insurance with risk management

Senior Software Engineer, AI Automation

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$130k - $195k /yr

About the Job

Requirements

  • Seven or more years of hands-on software engineering experience, including substantial recent experience building and shipping large language model-backed applications used by real users.
  • Demonstrated 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 that integrate with business-critical systems of record.
  • Strong judgment around evaluation methodology, reliability, safety controls, and the tradeoffs required to deploy AI systems responsibly.
  • Solid production engineering fundamentals across Git, continuous integration and continuous delivery, 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, with the ability to work directly with technical and non-technical partners.

Responsibilities

  • Lead the technical design and delivery of AI agents, reusable skills, and automation workflows used by internal teams.
  • Translate complex, ambiguous business processes, judgment calls, and edge cases into reliable, maintainable software.
  • Design and evolve integrations between agents and systems of record using Model Context Protocol and comparable tool-integration frameworks.
  • Define architecture, interfaces, data contracts, and operational standards for production AI systems.
  • Establish evaluation strategies, quality baselines, and release criteria; use results to make sound deployment and iteration decisions.
  • Build systems with robust controls for permissions, observability, auditability, human-in-the-loop review, failure containment, and rollback.
  • Partner with data engineering and business stakeholders to ensure automations use trustworthy data and have sustainable ownership.
  • Drive technical decisions across multiple workflows, identify reusable patterns, and raise the engineering bar for the team.
  • Mentor engineers and technical partners through design reviews, implementation guidance, and practical AI engineering standards.
  • Document systems, decisions, and operating practices so teams can safely maintain and extend what is built.

Desired Qualifications

  • Experience building or maintaining Model Context Protocol servers, agent platforms, or reusable tool/skill frameworks.
  • Experience designing evaluation harnesses, test datasets, and monitoring for large language model-backed systems.
  • Background in internal tools, solutions engineering, professional services, startup environments, or founding teams.
  • Familiarity with systems such as 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.

About the Company

Coalition

Active cyber insurance with risk management

Coalition blends Active Insurance with proactive cybersecurity tools to help businesses prevent digital risk. Its platform, Coalition Control, delivers automated cyber alerts, risk-management guidance, and third-party risk management. The company differentiates itself as the world’s first Active Insurance provider, backed by partnerships with major insurers and its own insurer, Coalition Insurance Company, plus Coalition Security Labs for education and insights. Its goal is to prevent cyber incidents by combining risk transfer with proactive protection to help organizations manage digital risk more effectively.

Company size
501-1,000
Company stage
Series F
Total funding
$770M
Headquarters
San Francisco, CA
Founded
2017

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