SUCCESS® Lending · 4 weeks ago
AI Engineer - Lead
United States
Full-time
Remote
Lead/Staff
$130K/yr - $130K/yr
8+ years expSUCCESS® Lending is seeking a highly skilled Lead AI Engineer to design, build, and deploy intelligent automation solutions across the mortgage lifecycle. The role involves setting technical direction for AI-powered agents and orchestrating workflows while mentoring engineers and collaborating with business stakeholders to enhance mortgage processes.
FinanceLendingReal EstateFinancial ServicesMortgageResidential
No H1B
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
Architect 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
Qualification
Required
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
AI CLI-based development for interacting with LLMs, orchestrating workflows, and managing automation pipelines
AI workflow tool(s) (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
Strong knowledge of relevant AI/ML libraries (LangChain, Transformers, boto3/GCP/Azure SDKs, etc.), JavaScript, and Python
RESTful APIs, cloud-native integrations, and infrastructure-as-code tools
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
Experience mentoring engineers and leading technical initiatives
Preferred
Familiarity with mortgage workflows or fintech automation is a strong plus
Company
SUCCESS® Lending
At SUCCESS® Lending, we believe that home financing should inspire confidence.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase