Software Engineer, AI Automation

Coalition

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Posted
52 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $188k
$122k $246k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $161,825–$214,500.

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 11 open roles on FindRole.

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At a glance

TL;DR · Software Engineer, AI Automation

JOB TITLE: Software Engineer, AI Automation The Software Engineer, AI Automation joins the Automation team to develop AI-driven solutions that automate manual internal workflows. This hands-on role involves authoring reusable skills, wiring agents to systems of record through MCP, and building evaluation sets to ensure production reliability. You will act as a forward-deployed engineer, partnering with internal teams to translate complex processes into automated playbooks while collaborating with data engineers on model quality. Key technical requirements include deep experience building LLM-backed applications using prompting, agentic loops, and multi-step workflows. You must be proficient in Python and SQL, comfortable with Git, containers, and coding agents like Cursor. The role solves the business problem of operational inefficiency by creating reliable, non-engineer-facing agents within a regulated insurance and cybersecurity context.

What does a Software Engineer earn in Remote?

Median $208800 from 354 postings across 50 companies.

See salary data

What you'll do

  • Author reusable skills by converting team processes, judgment, and edge cases into agent-invocable functions.
  • Wire agents to systems of record using MCP servers and compose tools into working workflows.
  • Define "correct" outcomes with business teams and build comprehensive eval sets to establish performance baselines.
  • Deploy agents to production with permissions, human-in-the-loop checkpoints, audit trails, and rollback capabilities.
  • Partner with the data team to define requirements for the access, models, and quality of data used by agents.
  • Map non-technical business processes into technical requirements to create reliable automation playbooks.
  • Tune agent behavior based on real-user feedback and provide documentation for business team ownership.

What we're looking for

  • At least 5+ years of hands-on software development experience.
  • Substantial hands-on experience shipping LLM-backed applications including prompting, tool use, agentic loops, and multi-step workflows.
  • Experience shipping 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 production decisions.
  • Fluency with agentic coding tools like Cursor.
  • Strong Python skills and comfort working with SQL and production data models.
  • Ability to translate non-technical processes into requirements and navigate ambiguous environments.

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