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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 focus on automation and workflow efficiency. Proficient in Python, SQL, and operational deployment practices, with a strong ability to translate non-technical processes into actionable requirements.
Highest-signal resume keywords
LLM-Backed Application DevelopmentPython ProgrammingSQL ProficiencyMCP Server ExperienceAgentic 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 AuthoringEval Set BuildingPythonSQLGitCI/CDSoftware Development
Soft Skills
Process MappingDocumentation
Tools & Technologies
CursorMCPLinearJiraZendeskSalesforceSnowflake
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 agents can invoke
- Wire agents to systems of record through MCP servers
- Compose skills and tools into working workflows and add MCP surface area when needed
- Define correctness with business teams, build eval sets, establish baselines, and determine what ships
- Deploy agents from prototype to production with permissions, human-in-the-loop checkpoints, audit trails, and rollback
- Tune agents based on real-user behavior and provide documentation and a business-team owner
- Partner with data engineers on data access, models, and data quality
- Work directly with Coalition teams whose work is being automated and turn processes into a playbook
- Individual contributor role 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
- 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 and translate them into requirements
- Git, CI, containers, and operational experience deploying and maintaining work
- At least 5+ years of hands-on software development experience
- Bonus: experience building or maintaining MCP servers; solutions engineering, professional services, internal tools, or startup founding experience; Linear, Jira, Zendesk, Salesforce, or Snowflake; insurance, fintech, or another regulated domain
Benefits
Comp & perks- 100% medical, dental, and vision coverage
- Flexible PTO
- Annual home office stipend and WeWork access
- Mental & physical health wellness programs like Headspace, Lumino, and more!
- Competitive compensation and opportunity for advancement