Note: The job is a remote job and is open to candidates in USA. SUCCESS® Lending is a company focused on transforming the mortgage experience through innovative solutions. They are seeking a skilled Mid-Level AI Engineer to design, build, and deploy intelligent automation solutions across the mortgage lifecycle, utilizing AI-powered agents and cloud-based technologies.
Responsibilities
- 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 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
- 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
Skills
- 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
- Hands-on experience with reverse engineering existing systems or processes to support automation design
- Hands-on experience with leveraging and integrating third-party AI solutions into existing systems and workflows
- Hands-on experience with AI CLI-based development for interacting with LLMs and managing automation pipelines
- Hands-on experience with AI workflow tool(s) (e.g., low-code/no-code orchestration platforms), MCP, and AWS Step Functions
- Hands-on experience with OpenAI, Anthropic (Claude), GCP, and Microsoft Azure AI/ML services
- Hands-on experience with AWS Lambda and serverless architecture
- Hands-on experience with Devin or similar AI-assisted coding tools
- Hands-on experience with relevant AI/ML libraries (LangChain, Transformers, boto3/GCP/Azure SDKs, etc.), JavaScript, and Python
- Hands-on experience with RESTful APIs and cloud-native integrations
- Hands-on experience with data analysis (SQL, pandas, or similar)
- Comfortable with rapid, AI-assisted ('vibe coding') prototyping
- Interest in and awareness of ongoing changes in the AI/LLM space
- Familiarity with mortgage workflows or fintech automation is a plus
Company Overview