Logikality is revolutionizing the U.S. mortgage industry by automating complex workflows with autonomous AI agents. We are moving beyond surface-level wrappers. We are building deep, compliant, and intelligent systems that execute high-value financial processes with decision-ready accuracy, traceability, and governance built in.
We are looking for a founding-caliber AI leader who is not looking for a job, but a venture. You will write the core code, shape the platform architecture, set the engineering standards, and own the technical vision from Day 1.
What You Will Build:
1) Core AI Platform Architecture
- Design and implement the end-to-end AI architecture powering our mortgage automation platform
- Make foundational decisions across orchestration, data flows, storage, compute, and security
- Establish engineering standards for performance, reliability, and maintainability
2) Document Intelligence + Decisioning
- Build systems for document ingestion, classification, extraction, and validation at scale
- Implement decision-ready outputs with strong grounding, citations, and audit trails
- Define evaluation frameworks: golden datasets, regression suites, accuracy thresholds, and error taxonomy
3) LLM + Agentic Workflows
- Integrate, fine-tune, and operationalize LLMs for analysis, exception handling, and compliance checks
- Build autonomous, multi-step agents with human-in-the-loop patterns where judgment matters
- Implement guardrails: policy checks, hallucination controls, and confidence-driven routing
4) Scalability, Security, and Compliance-by-Design
- Build secure, scalable systems suitable for financial workflows (observability, access control, data governance)
- Drive production readiness: monitoring, incident response, latency/throughput targets, and cost controls
- Ensure the architecture is compliant-ready with traceability and defensibility baked in
Who You Are:
A Builder First
- You are happiest when your IDE is open. You architect, you code, you ship.
- You take pride in production-grade engineering: testing, reviews, performance, and reliability.
AI-Native Engineering Depth
- Strong hands-on experience in Python and modern AI stacks
- Comfortable with vector databases, RAG, structured extraction, and agentic orchestration
- Familiar with frameworks such as LangChain, AutoGen (or equivalent), and evaluation/monitoring tooling
High Ownership, High Clarity
- You thrive in ambiguity and move fast with clear milestones and measurable outcomes
- You can translate messy real-world workflows into robust systems
Domain-Agnostic, Fast Learner
- Mortgage experience is optional. Learning speed is not.
- You can internalize domain logic quickly and encode it into deterministic workflows and AI systems.
