Senior Software Engineer, AI Automation

Coalition, Inc.

6h • $130,000 - $195,000 • Remote

About The Position

Coalition is building an AI Automation team to eliminate manual work and improve how teams across the company operate. The Senior Software Engineer, AI Automation will lead the design and delivery of reliable, production-grade AI agents and workflows that solve business problems.

This is a senior individual-contributor role for an AI-native engineer who can turn ambiguous business problems into durable technical solutions. The engineer will work with internal operators, product and data partners, and engineering teams to understand complex processes, develop reusable agent capabilities, and establish technical patterns that support safe scaling of AI automation across Coalition.

The role balances rapid experimentation with strong engineering judgment. It includes defining system architecture, evaluation and reliability practices, and appropriate production controls for permissions, auditability, human review, and rollback.

Requirements

• 7+ years of hands-on software engineering experience, including substantial recent experience building and shipping LLM-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, 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, with the ability to work directly with technical and non-technical partners.

Nice To Haves

• Experience building or maintaining MCP servers, agent platforms, or reusable tool/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 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.

Responsibilities

• Lead the technical design and delivery of AI agents, reusable skills, and automation workflows for internal teams.
• Translate complex and ambiguous business processes, judgment calls, and edge cases into reliable, maintainable software.
• Design and evolve integrations between agents and systems of record using MCP 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, and use results to guide deployment and iteration decisions.
• Build systems with 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 the work.

Benefits

• 100% medical, dental, and vision coverage
• 401(k) retirement plan with competitive employer match
• Flexible PTO
• Up to 14 weeks of paid leave for birthing parents and 8 weeks of paid parental leave for non-birthing parents
• Annual home office stipend and WeWork access
• Mental and physical health wellness programs such as One Medical, Headspace, and Wellhub
• Competitive compensation and opportunity for advancement

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed