AI Engineer - Lead

Responsibilities

• Lead the end-to-end design, delivery, and deployment of autonomous and semi-autonomous agents (agentic workflows) that interact with internal systems and users across the mortgage value chain.
• Architect robust, context-aware AI agents capable of handling document analysis, decision support, data extraction, and customer engagement.
• Reverse engineer existing systems, legacy workflows, and undocumented business logic to identify automation opportunities and design agent-based replacements.
• Set best practices and technical standards for agent design across the team.
• Arcitect 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).
• Automate multistep business logic and exception handling with serverless functions, event-driven triggers, and low-code orchestration tools.
• Design modular, scalable workflows that enable rapid iteration, monitoring, and reliability across pipelines.
• Evaluate, leverage, and integrate third-party AI solutions and platforms to accelerate delivery and extend internal capabilities.
• Leverage OpenAI, Anthropic (Claude), GCP, and Microsoft Azure AI services to build, fine-tune, and deploy AI capabilities across a multi-cloud environment.
• Utilize Devin and similar AI-assisted development tools to accelerate engineering workflows.
• Integrate custom and pre-trained LLMs to automate mortgage underwriting processes — document classification, condition management, intelligent routing, and dynamic content generation.
• Evaluate and recommend new models, frameworks, and tools as the AI landscape evolves, including build-vs-buy decisions on third-party AI solutions.
• Perform exploratory data analysis on structured and unstructured mortgage data to identify automation opportunities and validate agent performance.
• Use data-driven insights to guide agent design, workflow optimization, and prioritization.
• Partner with business SMEs, product managers, and data teams to map out automation targets and rapidly iterate on solutions.
• Mentor mid-level and junior engineers; conduct code reviews and uphold engineering standards.
• Maintain documentation and ensure compliance with data privacy and regulatory standards.
• Champion a "vibe coding" approach where appropriate — using AI coding assistants (e.g., Devin) to rapidly prototype and iterate.
• Stay ahead of market developments in AI, LLMs, and mortgage technology, and translate relevant trends into team roadmap decisions.

Qualifications

• 8+ years of professional experience in AI application development, automation engineering, or full-stack cloud engineering, including prior technical leadership.
• Proven hands-on experience with agentic frameworks for building intelligent task-planning and decision-making agents.
• Reverse engineer existing systems and processes to inform automation and agent design.
• Evaluating, leveraging, and integrating third-party AI solutions into existing systems and workflows.
• Experience with AI CLI-based development for interacting with LLMs, orchestrating workflows, and managing automation pipelines.
• Experience with AI workflow tool(s) (e.g., low-code/no-code orchestration platforms), MCP, and AWS Step Functions.
• Experience with OpenAI, Anthropic (Claude), GCP, and Microsoft Azure AI/ML services.
• Experience with AWS Lambda and serverless architecture.
• Experience with Devin or similar AI-assisted coding tools.
• Strong knowledge of relevant AI/ML libraries (LangChain, Transformers, boto3/GCP/Azure SDKs, etc.), JavaScript, and Python.
• Experience with RESTful APIs, cloud-native integrations, and infrastructure-as-code tools.
• Experience with data analysis (SQL, pandas, or similar) to inform automation and agent design decisions.
• Comfortable with rapid, AI-assisted ("vibe coding") prototyping and iteration.
• Demonstrated track record of staying current with fast-moving AI/LLM developments and applying them practically.
• Familiarity with mortgage workflows or fintech automation is a strong plus.

Pay

The starting base pay range for this position is $130,000/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.