Note: The job is a remote job and is open to candidates in USA. SUCCESS® 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.
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
Skills
- 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
- Familiarity with mortgage workflows or fintech automation is a strong plus
Company Overview