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Software Engineer, AI Automation
Coalition Technologies. Use AI to solve and automate manual work across Coalition .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in shipping LLM-backed applications and orchestrating agents with a strong focus on automation and process optimization. Proficient in Python, SQL, and agentic coding tools, with a solid understanding of deploying and maintaining systems in production environments.
Highest-signal resume keywords
LLM-Backed Application DevelopmentMCP Server ManagementPython ProgrammingSQL ProficiencyAgentic Coding Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
LLM-Backed ApplicationsAgentic LoopsMulti-Step WorkflowsSkill AuthoringTool AuthoringData Quality ManagementSoftware DevelopmentEvaluation SetsDeployment OperationsProcess Mapping
Soft Skills
CollaborationProblem-SolvingDocumentation
Tools & Technologies
CursorGitCIContainersLinearJiraZendeskSalesforceSnowflake
Industry Keywords
InsuranceFintechRegulated Domain
Tech Stack
Tools & technologiesPythonSnowflakeSQL
About the role
Key responsibilities & impact- Use AI to solve and automate manual work across Coalition
- Author reusable skills that encode teams' processes, judgment, and edge cases
- Wire agents to systems of record through MCP servers
- Compose skills and tools into working agent workflows
- Add MCP surface area when required systems are not covered
- Define correctness with business teams and build evaluation sets and baselines
- Deploy agents from prototype to production with permissions, human-in-the-loop checkpoints, audit trails, and rollback
- Tune agents based on real-user behavior
- Leave documentation and a business-team owner for each deployed agent
- Partner with data engineers on data access, models, and data quality
- Work directly with Coalition teams to understand and automate their processes
- Operate as an individual contributor with no direct reports
Requirements
What you’ll need- Substantial hands-on experience shipping LLM-backed applications, including prompting, tool use, agentic loops, and multi-step workflows
- Have shipped at least one agent that non-engineers depend on
- Practical experience with MCP, skill or tool authoring, and orchestrating agents against real systems of record
- Experience building eval sets and using them to make decisions
- Fluent with agentic coding tools like Cursor
- Strong Python
- Comfortable with SQL and working directly against production data models
- Ability to map non-technical operators' processes into requirements without a PM
- Git, CI, containers, and operational ability to deploy and maintain work
- At least 5+ years of hands-on software development experience
- Bonus: Experience building or maintaining MCP servers
- Bonus: Prior solutions engineering, professional services, internal tools, or startup founding experience
- Bonus: Working knowledge of Linear, Jira, Zendesk, Salesforce, or Snowflake
- Bonus: Insurance, fintech, or another regulated domain experience
Benefits
Comp & perks- 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 & physical health wellness programs like One Medical, Headspace, Wellhub, and more!
- Competitive compensation and opportunity for advancement
- Remote-first culture