Software Engineer, AI Automation

Coalition

Confirmed live yesterday High trust
Remote

Quick summary

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

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Salary context

How this pay compares to similar roles

Similar $191k
$138k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $150,874–$231,037.

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 build and deploy AI-driven agents that automate manual workflows across the company. This hands-on role involves authoring reusable skills, wiring agents to systems of record through MCP servers, building rigorous evaluation sets, and managing production deployments with human-in-the-loop checkpoints. You will collaborate closely with internal teams to translate business processes into technical requirements and partner with data engineers on model quality and data access. The ideal candidate possesses extensive experience in LLM-backed applications, including prompting, tool use, and agentic loops. Required skills include Python, SQL, Git, and containerization, alongside proficiency with tools like Cursor. This role focuses on solving internal operational inefficiencies by creating reliable automated systems within a complex environment involving platforms such as Linear, Jira, Zendesk, Salesforce, and Snowflake.

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 define requirements for the models and data quality used by agents.
  • Map non-technical workflows into technical requirements to automate manual tasks across the company.

What we're looking for

  • Experience must include substantial hands-on experience shipping LLM-backed applications including prompting, tool use, and agentic loops.
  • Candidates must have shipped at least one agent that non-engineers depend on.
  • Practical experience with MCP, skill or tool authoring, and orchestrating agents against systems of record is required.
  • Experience building eval sets to make data-driven decisions for production deployments is required.
  • Proficiency with coding agents like Cursor is required to work efficiently within existing codebases.
  • Strong Python skills and comfort working with SQL and production data models are required.
  • Ability to translate non-technical processes into technical requirements without a product manager is required.
  • At least 5 years of hands-on software development experience is required.

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