Senior AI Engineer

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 home buyers 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.

We are seeking a skilled Mid‑Level AI Engineer to 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 tools, 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.

• Design, deliver, and deploy semi‑autonomous agents (agentic workflows) that interact with internal systems and users across the mortgage value chain.
• Build context‑aware AI agents capable of handling document analysis, decision support, data extraction, and customer engagement.
• Reverse engineer existing systems, workflows, and business logic to identify opportunities for AI‑driven automation.

• Build cloud‑based process flows using AI workflow tools, MCP, AWS Step Functions, and Lambda, integrating AI components, APIs, and mortgage software platforms (e.g., LOS, CRM, POS).
• Automate multistep business logic and exception handling with serverless functions, event‑driven triggers, and low‑code orchestration tools.
• Contribute to modular workflow design that supports iteration, monitoring, and scaling of pipelines.
• Leverage and integrate third‑party AI solutions where they accelerate delivery or extend capabilities.

• Use OpenAI, Anthropic (Claude), GCP, and Microsoft Azure AI services to build and deploy AI capabilities.
• Use Devin and similar AI‑assisted development tools to support day‑to‑day engineering work.
• Integrate custom and pre‑trained LLMs to support automation in mortgage underwriting – document classification, condition management, intelligent routing, and dynamic content generation.

• Perform data analysis on structured and unstructured mortgage data to support automation design and validate results.

• Partner with business SMEs, product managers, and data teams to map out automation targets and iterate on solutions.
• Maintain documentation, participate in code reviews, and ensure compliance with data privacy and regulatory standards.
• Apply “vibe coding” techniques – using AI coding assistants (e.g., Devin) to prototype and iterate quickly.
• Stay current on developments in AI, LLMs, and the mortgage industry, and bring relevant ideas to the team.

• 3–5 years of professional experience in AI application development, automation engineering, or full‑stack cloud engineering.

• Agentic frameworks for building task‑planning and decision‑making agents.
• Reverse engineering existing systems or processes to support automation design.
• Leveraging and integrating third‑party AI solutions into existing systems and workflows.
• AI CLI‑based development for interacting with LLMs and managing automation pipelines.
• AI workflow tools (e.g., low‑code/no‑code orchestration platforms), MCP, and AWS Step Functions.
• OpenAI, Anthropic (Claude), GCP, and Microsoft Azure AI/ML services.
• AWS Lambda and serverless architecture.
• Devin or similar AI‑assisted coding tools.
• Relevant AI/ML libraries (Lang Chain, Transformers, boto3/GCP/Azure SDKs, etc.), JavaScript, and Python.
• RESTful APIs and cloud‑native integrations.
• Data analysis (SQL, pandas, or similar).
• Comfortable with rapid, AI‑assisted “vibe coding”…