Automation & AI Engineer for Mortgage Cadence Implementations

Partner One Software Inc

United States

Remote

USD 120,000 - 160,000

Full time

14 days+

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Partner One Software Inc. is seeking an Automation and AI Specialist to join our Professional Services team. You will design and develop automation- and AI-driven solutions to accelerate the configuration of our Mortgage Cadence Platform for client implementations.

You will leverage LLMs and workflow automation tools to reduce manual effort, improve accuracy, and scale delivery across projects. This role involves collaborating with consultants, project managers, and product teams to deliver

Qualifications

3+ years in automation, AI/ML, or software development.
Hands-on with workflow automation platforms: n8n, Power Automate, Zapier.
Experience with LLMs like OpenAI GPT or Claude.
Strong REST APIs, JSON, and systems integration knowledge.
Proficient in scripting languages (JavaScript, Python, .NET).
Familiarity with cloud platforms (Azure, AWS, GCP).
Excellent communication to explain technical concepts to non-technical stakeholders.
Experience with document parsing, data extraction, and AI-based content analysis.

Responsibilities

Design, develop, and maintain AI- and automation-driven solutions that support the rapid configuration of MCP for client implementations.
Leverage LLMs (e.g., OpenAI, Claude) to interpret client documentation (e.g., underwriting guidelines, product matrices, policies) and generate configuration outputs.
Build and optimize automated workflows using tools such as n8n, Power Automate, Zapier, or custom scripts to streamline repetitive tasks in the implementation lifecycle.
Integrate outputs with system APIs to populate configuration templates and system admin screens.
Partner with subject matter experts to identify high-impact use cases and translate business needs into scalable technical solutions.
Collaborate with Product and Engineering teams to ensure solutions are secure, compliant, and maintainable.
Create internal documentation, training materials, and guides to support adoption and enable team self-sufficiency.
Stay current on AI/automation trends and proactively propose new tools or approaches that can drive efficiency.