Principal Engineer – AI Systems & Automation
Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.
Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.
Role Overview
AI is at an inflection point for Ocrolus.
We are looking to build a strong internal AI capability at Ocrolus that improves how work gets done across the organization.
This role sits at the intersection of applied AI, systems thinking, and business transformation, with a focus on identifying, building, and scaling AI-driven solutions across internal processes.
The individual will work closely with leadership to translate AI opportunities into practical, scalable implementations.
Given the cross-functional impact, this would be a high-ownership role working closely with leadership
CORE RESPONSIBILITIES
- Identify AI Opportunities Across the Organization
- Proactively evaluate existing processes and workflows
- Identify areas where AI can drive efficiency, accuracy, or scale
- Redesign workflows using an AI-first approach (current → future state)
Goal is to improve:
- Productivity
- Efficiency
- Cost
- Build and Implement AI Solutions
- Design and develop AI-powered systems and workflows end-to-end
- Apply automation frameworks and workflows to solve real problems
- Move from idea → prototype → production deployment
- Drive Adoption and Influence Across Teams
- Work across functions to enable adoption of AI-driven solutions
- Partner with stakeholders to translate business problems into AI use cases
- Influence without authority to ensure successful implementation
- Define AI Systems, Architecture & Tooling
- Establish a scalable approach to AI systems and integrations
- Define standards for:
- Model selection and orchestration
- System design and integrations
- Tooling and frameworks
- Ensure Reliability, Quality & Governance
- Ensure AI systems are reliable, secure, and production-ready
- Define standards for:
- Output quality and evaluation
- Hallucination control
- Data handling and compliance
WHAT SUCCESS LOOKS LIKE (FIRST 6–9 MONTHS)
- Multiple AI-driven workflows deployed and adopted across teams
- Measurable improvements in productivity, efficiency, or cost
- Clear pipeline of AI opportunities across the organization
- Established foundation for scalable AI adoption
WHO YOU ARE
- 8–15 years in Applied AI / ML / Data Systems
- Proven track record of building and scaling AI systems in production
- Strong ability to connect AI capabilities to business outcomes
- Comfortable operating across strategy, execution, and stakeholder alignment
- Experience driving cross-functional transformation at scale
Signals of Excellence
- Delivered AI systems from idea → production → scale
- Built solutions that moved core business metrics
- Made clear trade-offs between accuracy, cost, and speed
- Able to operate in ambiguity and create structure
TECHNICAL CAPABILITIES
Must-Have (Hands-on Required)
- Strong proficiency in at least one programming language (Python preferred) with proven hands-on project experience
- Experience working with LLMs & GenAI tools (OpenAI, Claude, open-source models) in real-world use cases
- Solid understanding of APIs, integrations, and backend logic (build, not just use)
- Experience in building or contributing to RAG pipelines, AI agents, or orchestration frameworks
- Hands-on exposure to automation workflows (e.g., n8n or similar tools)
- Working knowledge of NLP / document processing systems
Good to Have (Depth Enhancers)
- Experience with cloud platforms (AWS / GCP) for deploying AI solutions
- Understanding of MLOps / LLMOps concepts (deployment, monitoring, versioning)
WHAT THIS ROLE IS
- A hands-on builder with strong AI depth
- A systems thinker who can design scalable solutions
- A cross-functional operator who drives real impact
- This is a builder + operator + Influencer role.
WHAT THIS ROLE IS NOT
- Not a research-focused role
- Not limited to model development
- Not confined to a single team or function
WHY THIS ROLE MATTERS
- Opportunity to build AI capabilities from the ground up
- Direct impact on how the organization scales and operates
- High visibility and partnership with leadership
- Ability to drive meaningful, measurable business outcomes
WHY JOIN OCROLUS NOW
- High visibility with leadership and measurable business outcomes
- Chance to build something foundational and long-term
READY TO SHAPE AI AT OCROLUS?
If you are looking to:
- Build AI systems that are used at scale
- Drive real business impact
- Define how a company competes using AI
Life at Ocrolus
We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.
Our culture is grounded in four core values: Empathy – Understand and serve with compassion Curiosity – Explore new ideas and question the status quo Humility – Listen, be grounded, and remain open-minded Ownership – Love what you do, work hard, and deliver excellence
We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.
We look forward to building the future of lending together.
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