Software Engineer, AI Automation

Coalition

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $176k
$119k most similar roles pay here $228k

This listing doesn't post a salary. Most similar roles pay $138,007–$214,000.

Based on 240 similar postings.

Employer

About Coalition

Coalition is a cyber insurance and security company that combines comprehensive cyber insurance coverage with active risk management tools to help organizations prevent and respond to cyber incidents. Industry: Cyber Insurance & Risk Management

Coalition currently has 21 open roles on FindRole.

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At a glance

TL;DR · Software Engineer, AI Automation

Software Engineer, AI Automation will join the Automation team to utilize artificial intelligence to automate manual internal workflows and processes. This hands-on role involves authoring reusable skills, wiring agents to systems of record through MCP servers, building rigorous evaluation sets, and deploying production-ready agents for non-technical users. The engineer will act as a forward-deployed partner to internal teams, translating complex business operations into technical requirements while collaborating with the data team on model quality and data access. Key technologies include Python, SQL, and agentic coding tools like Cursor. Candidates must possess deep experience in LLM-backed applications, including prompting, tool use, and multi-step workflows. The role addresses the challenge of automating internal business operations within a regulated insurance and cybersecurity context, requiring skills in Git, CI, containers, and managing systems like Jira, Zendesk, and Salesforce.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

See salary data

What you'll do

  • Translate internal team processes and judgment into reusable skills that AI agents can invoke.
  • Wire agents to systems of record using MCP servers and integrate them into working workflows.
  • Define "correct" outcomes with business teams and build evaluation sets to validate agent performance.
  • Move AI agents from prototype to production by implementing permissions, audit trails, and human-in-the-loop checkpoints.
  • Collaborate with the data team to ensure high-quality data access for the systems your agents use.
  • Map non-technical workflows into technical requirements to automate manual tasks across the organization.

What we're looking for

  • Must have substantial hands-on experience shipping LLM-backed applications including prompting, tool use, and agentic loops.
  • Must have shipped at least one agent that non-engineers depend on.
  • Requires practical experience with MCP, skill or tool authoring, and orchestrating agents against systems of record.
  • Must have experience building eval sets to make data-driven decisions for production deployments.
  • Must be fluent with agentic coding tools like Cursor.
  • Requires strong Python skills and proficiency with SQL and production data models.
  • Must possess the ability to translate non-technical processes into technical requirements.
  • Requires at least 5 years of hands-on software development experience.

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