The Team:
At Kind Lending, our family of diverse and talented Kind Ambassadors is the driving force behind our new approach to the mortgage experience. Our Kind Ambassadors are the heart and soul of the organization and our “People Before Profits” mentality shines through in every department. Kind Lending is growing and is looking for top mortgage professionals who value opportunity, lasting business partnerships, and who live out our KIND mindset. Kind Lending is determined to provide the best service in the industry while also providing homebuyers with a great selection of products to enhance their buying experience. Backed by our trusted leadership team, Kind Lending’s friendly and professional model puts the “fun” in funding.
Position Summary:
We are seeking a skilled Mid-Level AI Engineer to help design, build, and deploy intelligent automation solutions across the mortgage lifecycle. In this role, you will implement AI-powered agents, contribute to process workflows using AI workflow tool(s), MCP, AWS Step Functions, and Lambda, and work across a multi-cloud AI stack (OpenAI, Anthropic, GCP, Microsoft Azure) — including tools like Devin — to build scalable, cloud-native automation systems. You'll work alongside a passionate team focused on transforming traditional processes into seamless, intelligent experiences.
Responsibilities:
AI Agent Development
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Design, deliver, and deploy semi-autonomous agents (agentic workflows) that interact with internal systems and users across the mortgage value chain.
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Build context-aware AI agents capable of handling document analysis, decision support, data extraction, and customer engagement.
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Reverse engineer existing systems, workflows, and business logic to identify opportunities for AI-driven automation.
Workflow Orchestration & Integration
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Build cloud-based process flows using AI workflow tool(s), MCP, AWS Step Functions, and Lambda, integrating AI components, APIs, and mortgage software platforms (e.g., LOS, CRM, POS).
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Automate multistep business logic and exception handling with serverless functions, event-driven triggers, and low-code orchestration tools.
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Contribute to modular workflow design that supports iteration, monitoring, and scaling of pipelines.
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Leverage and integrate third-party AI solutions where they accelerate delivery or extend capabilities.
AI Implementation
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Use OpenAI, Anthropic (Claude), GCP, and Microsoft Azure AI services to build and deploy AI capabilities.
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Use Devin and similar AI-assisted development tools to support day-to-day engineering work.
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Integrate custom and pre-trained LLMs to support automation in mortgage underwriting — document classification, condition management, intelligent routing, and dynamic content generation.
Data Analysis
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Perform data analysis on structured and unstructured mortgage data to support automation design and validate results.
Collaboration & Iteration
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Partner with business SMEs, product managers, and data teams to map out automation targets and iterate on solutions.
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Maintain documentation, participate in code reviews, and ensure compliance with data privacy and regulatory standards.
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Apply "vibe coding" techniques — using AI coding assistants (e.g., Devin) to prototype and iterate quickly.
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Stay current on developments in AI, LLMs, and the mortgage industry, and bring relevant ideas to the team.
Qualifications:
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3–5 years of professional experience in AI application development, automation engineering, or full-stack cloud engineering.
Hands-on experience with:
- Agentic frameworks for building task-planning and decision-making agents.
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Reverse engineering existing systems or processes to support automation design.
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Leveraging and integrating third-party AI solutions into existing systems and workflows.
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AI CLI-based development for interacting with LLMs and managing automation pipelines.
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AI workflow tool(s) (e.g., low-code/no-code orchestration platforms), MCP, and AWS Step Functions.
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OpenAI, Anthropic (Claude), GCP, and Microsoft Azure AI/ML services.
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AWS Lambda and serverless architecture.
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Devin or similar AI-assisted coding tools.
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Relevant AI/ML libraries (LangChain, Transformers, boto3/GCP/Azure SDKs, etc.), JavaScript, and Python.
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RESTful APIs and cloud-native integrations.
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Data analysis (SQL, pandas, or similar).
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Comfortable with rapid, AI-assisted ("vibe coding") prototyping.
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Interest in and awareness of ongoing changes in the AI/LLM space.
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Familiarity with mortgage workflows or fintech automation is a plus.
Pay Disclosure:
The starting base pay range for this position is $120,000/annually. The actual base is dependent on many factors such as work experience, business needs, market demands, and other compensation components. The base pay range is subject to change and may be modified in the future.
Disclaimer:
This job description is not intended, nor should it be construed to be, an exhaustive list of all responsibilities, duties, skills, or working conditions associated with a job. It is intended to be a general description of the principal requirements common to the positions of this type. The incumbent may be required to perform additional duties and functions to meet Kind Lending’s needs.
Work Authorization:
Must be able to verify identity and employment eligibility to work in the U.S. without a visa sponsorship.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be able to lift up to ten pounds. Primary functions require sufficient physical ability and mobility to work in an office setting; to stand or sit for prolonged periods of time; to occasionally stoop, bend, kneel, crouch, reach, and twist; to lift, carry, push, and/or pull light to moderate amounts of weight; to operate office equipment requiring repetitive hand movement and fine coordination, including use of a keyboard; and to verbally and orally communicate to exchange information. VISION: See in the normal visual range with or without correction. HEARING: Hear in the normal audio range with or without correction.
Kind Lending is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, religion, creed, color, orientation, gender, age, national origin, veteran status, disability status, marital status, sexual orientation, gender identity, or gender expression.
***For your security, Kind Lending will only contact you from email addresses ending in kindlending.com. Emails from any other domain should be treated as suspicious and may be phishing attempts.
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