Applied AI Engineer at Splitero

Applied AI Engineer

Company: Splitero Location: Remote Reports to: VP of Product and Engineering

Splitero seeks an Applied AI Engineer to identify, scope, and deliver AI capabilities across product and operations. This role bridges engineering with cross-functional teams in sales, processing, underwriting, and servicing to streamline workflows. The engineer will champion AI-first development, educate the team on emerging tooling, and lead technical initiatives.

Splitero sits at the intersection of financial services and property technology, helping homeowners access home equity without traditional lending restrictions.

AI Discovery & Strategy

Act as internal thought leader on AI capabilities and limitations

Maintain prioritized backlog of AI opportunities across the business

Define initiatives end-to-end with problem framing and success criteria

Stay current on AI tooling landscape and recommend adoption

Building & Delivery

Build AI-powered features using LLM APIs, RAG pipelines, and agentic frameworks

Develop automation workflows using n8n, Make for rapid delivery

Integrate AI into existing systems and codebases

Own full development lifecycle: prototyping, evaluation, deployment, monitoring

Cross-Functional Partnership

Translate user problems into AI-driven features

Embed within operations teams to identify automation opportunities

Ensure AI integrations meet production standards

Document implementations for team support

Required Qualifications

6+ years software engineering; 2+ years building production AI/LLM applications

Hands-on experience with LLM APIs, prompt engineering, retrieval-augmented generation

Experience evaluating and operationalizing AI tools across organizations

Proficiency with n8n, Make, Zapier

Comfortable with Claude Code, Cursor, GitHub Copilot

Strong backend or full-stack fundamentals

Python, TypeScript/Node.js fluency; PostgreSQL, cloud deployment familiarity

Multi-agent framework experience (LangChain, LlamaIndex)

Vector database and embedding pipeline knowledge

Preferred: Fintech, proptech, or real estate technology background. SOC 2 or data privacy framework knowledge.

Compensation: $135,000 - $175,000

Benefits

Fully remote workforce

Monthly cell and internet stipend; WeWork access

Comprehensive healthcare on day one

Flexible PTO and parental leave