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Acra Lending

AI Engineer

Irvine, CA $140k - $160k/yr Full time Posted 2d ago
AI

Job Description

Based in Irvine, CA on site, this AI Engineer role at Acra Lending offers a salary range of USD 140,000 to 160,000 per year. The company provides a comprehensive benefits package, including medical, dental, and vision coverage, wellness programs, employee assistance programs, FSA and HSA options, life insurance, disability coverage, and more. This role centers on agentic AI and workflow automation to design, build, and deploy intelligent systems that improve operational efficiency, shorten cycle times, enhance borrower and broker experiences, support compliance, and lift EBITDA through scalable automation.

Benefits

  • Medical, dental, vision
  • Wellness programs
  • EAP counseling services
  • FSA & HSA
  • Company sponsored life insurance for employee
  • Voluntary life insurance for employee, spouse and child
  • AD&D Insurance
  • Voluntary short-term and long-term disability
  • Critical illness insurance
  • Accident insurance
  • Legal assistance
  • Pet insurance
  • Living will and trust preparation discounts
  • Commuter program
  • Annual walking challenge
  • Employee appreciation events
  • Monthly sales awards

Responsibilities

  • Design and deploy AI agents and multi-agent systems to automate mortgage workflows across the loan lifecycle
  • Develop intelligent orchestration frameworks that support autonomous decision making, task execution, and routing of workflows
  • Build AI copilots and internal assistants for underwriting, loan processing, sales, operations, secondary markets, compliance, capital markets, and leadership
  • Implement AI powered exception handling and escalation workflows for complex loan scenarios
  • Identify and automate high-friction operational workflows across the mortgage platform
  • Develop automation solutions for loan intake, document classification, income and asset analysis, credit review, conditions management, broker communication, borrower engagement, QC and compliance reviews, and post-close processes
  • Deploy Retrieval-Augmented Generation systems using lending guidelines, overlays, investor matrices, and SOPs
  • Design prompt orchestration, memory architectures, and agent reasoning frameworks
  • Assess and deploy emerging AI technologies for document understanding, NLP, computer vision, and decision support
  • Integrate AI systems with LOS platforms, CRM systems, pricing engines, OCR/document recognition tools, and data platforms
  • Develop APIs and middleware to enable seamless AI workflow orchestration
  • Ensure AI implementations align with mortgage regulatory requirements and governance standards
  • Design controls for explainability, auditability, model monitoring, and human-in-the-loop approvals
  • Contribute to defining and executing the enterprise AI strategy
  • Prioritize automation opportunities with high ROI that improve revenue, pull-through, turn times, cost-to-originate, scalability, and EBITDA

Requirements

  • 5+ years of software engineering, AI engineering, or machine learning experience
  • 2+ years building LLM based applications or agentic AI systems
  • Experience with orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or MCP-based architectures
  • Strong Python development skills and experience with APIs, vector databases, prompt engineering, RAG architectures, and workflow automation

Technologies

  • Python, SQL, JavaScript/TypeScript
  • LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, MCP-based architectures
  • OpenAI, Anthropic, open-source LLMs, Hugging Face
  • n8n, UiPath, Zapier, Make, Apache Airflow
  • AWS, Azure, GCP
  • Docker, Kubernetes, CI/CD

Preferred Qualifications

  • Experience in mortgage lending, fintech, banking, or financial services
  • Familiarity with Non-QM underwriting guidelines including DSCR, Bank Statement, Asset Qualifier, ITIN, Foreign National, and Jumbo products
  • Experience with mortgage LOS platforms and deploying AI in regulated environments

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