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.
In this role, you'll work directly with our sales, processing, underwriting, closing, and servicing teams to identify, scope, and execute opportunities to streamline and automate their workflows as we scale. You'll champion AI-first development, educate the team on emerging tooling, and lead technical initiatives that drive the organization forward.
You'll spend your time shipping working AI solutions into production by:
Automating workflows
Augmenting our product experience
Helping Splitero move faster and smarter as a business
You will have a strong understanding of when supervised AI outweighs the risk of full automation. You're as comfortable standing up a low-code n8n automation as you are writing clean code, and you know when each approach is the right one.
The ideal candidate thrives in a fast-paced environment, defaults to the simplest path to a working solution, prototypes quickly using every tool available, and has the engineering discipline to know when something needs to be rebuilt properly before it goes to production.
Qualifications
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)
Strong backend or full-stack engineering fundamentals
Fluency in Python, TypeScript/Node.js, or similar
Experience with multi-agent frameworks (LangChain, LlamaIndex, or similar)
Self-directed and comfortable operating as a team of one
Strong communicator who can translate technical AI concepts for non-technical stakeholders
Requirements
Comfortable with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, etc.)
Familiarity with PostgreSQL and cloud deployment platforms (AWS, Vercel, or similar)
Familiarity with vector databases, embedding pipelines, and evaluation frameworks for LLM outputs
Benefits
Fully Remote Team - Our remote-first culture allows us to hire the best people, regardless of location.
OneTeam Culture - We foster a culture of transparency, innovation, and inclusivity, where every voice is heard and every team member is valued.
Generous Resources - In addition to a solid tech stack and access to any WeWork location, you will receive a monthly cell and internet stipend.
Premium Healthcare - We offer comprehensive healthcare plans for you and your family, which employees are eligible for on their first day.
Flexible PTO and Parental Leave - We offer a generous PTO and encourage employees to take time off to recharge.