Applied AI Engineer Remote

Company Overview Splitero is revolutionizing the real estate industry by helping homeowners access their home equity without making monthly payments like traditional financing options. Founded by Michael Gifford and David Zvaifler, Splitero addresses a critical need in today's economy where millions of homeowners cannot convert their hard-earned equity into cash due to rising interest rates and strict qualification requirements from traditional lenders. The company operates at the intersection of financial services and property technology, with a fully remote-first culture that allows them to hire the best talent regardless of location. Job Title Applied AI Engineer Remote Location Remote - United States Job Overview As Splitero's Applied AI Engineer, you will own the identification, scoping, and delivery of AI-powered capabilities across our product and operations. You'll sit within the engineering organization but operate cross-functionally, partnering with product, operations, and business teams to identify where AI creates real leverage, then build it. You will work directly with sales, processing, underwriting, closing, and servicing teams to identify, scope, and execute opportunities to streamline and automate their workflows as we scale. On the engineering side, you'll champion AI-first development, educate the team on emerging tooling, and lead technical initiatives that drive the organization forward. Job Responsibilities Identify, scope, and deliver AI-powered capabilities across product and operations teams Socialize AI capabilities, limitations, and roadmap across the organization, acting as an internal resource and thought leader Maintain a prioritized backlog of AI opportunities, triaging ideas from leadership, product, and operations into scoped, deliverable workstreams Define AI initiatives end-to-end: problem framing, data requirements, build vs. buy decisions, and measurable success criteria Build, integrate, and maintain AI-powered features and workflows using LLM APIs (OpenAI, Anthropic), RAG pipelines, and agentic frameworks Develop automation workflows using low/no-code orchestration tools (n8n, Make) to deliver AI solutions rapidly Integrate AI capabilities into existing systems and codebases in partnership with product and engineering teams Own the full AI development lifecycle including prototyping, evaluation, deployment, monitoring, and iteration Partner with product to translate user problems into AI-driven features and experiences Embed within operations and business teams to identify workflow automation and efficiency opportunities Requirements 6+ years in software engineering with at least 2 years of focused experience building production AI or LLM-powered applications Hands-on experience with LLM APIs, prompt engineering, retrieval-augmented generation (RAG), and agentic workflow design Demonstrated experience evaluating, advocating, and operationalizing AI tooling across an organization Proficiency with low/no-code orchestration platforms (n8n, Make, Zapier) to prototype and deliver AI workflows rapidly Comfortable with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) with strong engineering judgment to write clean, maintainable code Strong backend or full-stack engineering fundamentals with ability to integrate AI into real production systems Fluency in Python, TypeScript/Node.js, or similar programming languages Familiarity with PostgreSQL and cloud deployment platforms (AWS, Vercel, or similar) Experience with multi-agent frameworks (LangChain, LlamaIndex, or similar) Familiarity with vector databases, embedding pipelines, and evaluation frameworks for LLM outputs Self-directed and comfortable operating as a team of one with ability to run own backlog Strong communicator who can translate technical AI concepts for non-technical stakeholders Preferred Qualifications Experience in fintech, proptech, or real estate technology — particularly products handling sensitive financial data or consumer lending Knowledge of SOC 2 or data privacy frameworks relevant to financial and personal data Salary Range $135,000 - $175,000. Within the range, individual pay is determined by job-related skills, experience, and relevant education or training. Benefits Fully Remote Team - Remote-first culture allowing hiring the best people regardless of location OneTeam Culture - Transparent, innovative, and inclusive environment where every voice is heard and valued Generous Resources - Solid tech stack, access to any WeWork location, plus monthly cell and internet stipend Premium Healthcare - Comprehensive healthcare plans for you and your family, eligible from day one Flexible PTO and Parental Leave - Generous PTO policy and comprehensive parental leave Diversity & Inclusion - Commitment to inclusion with reasonable accommodations for people with disabilities Reporting Structure Reports directly to the VP of Product and Engineering. Embedded within the product engineering team