Applied AI Engineer

About Slash

Slash is building the future of business banking one industry at a time. We believe businesses deserve financial infrastructure tailored to how they actually operate. Thats why were creating a new category of business banking. We combine the reliability of traditional banking (high yields competitive rewards and comprehensive security) with industry-specific features that make businesses more efficient more competitive and more profitable.

Started in 2021 Slash is one of the fastest growing fintechs in the world and we power over ten billion dollars a year in business purchasing across numerous industries. We recently raised a $100M Series C led by Ribbit Capital with participation from Khosla Ventures Goodwater Capital NEA and Y Combinator accelerating our expansion into new markets and products.

Slash is headquartered in San Francisco and has a strong in-person culture.

About the role

Slash is building an AI-native financial platform and were forming Slash AI Labs a small high-leverage team responsible for bringing AI deeply into every surface of the product. Weve already shipped Twin our agent platform powered by a custom orchestration runtime tool-calling over a structured ontology graph MCP and multi-surface delivery across web Slack and API. Youll be an early member of this team and helping incubate what comes next. If you want to build production AI systems at a fintech thats growing fast and ships constantly this is the role.

What youll do

• Ship full-stack AI features end to end from prompt engineering and agent orchestration to React UI and API integration

• Build and extend our agent runtime: orchestration tool execution MCP servers graph-based conversation state and context compaction

• Design and implement multi-surface agent experiences across web Slack and programmatic APIs

• Build internal AI tooling and platforms model evaluation frameworks prompt management and LLM observability tooling

• Work directly with Anthropic and OpenAI APIs the Vercel AI SDK and our custom orchestration layer to solve challenging problems in tool-calling long-context management and multi-step reasoning

• Improve and scale our AI infrastructure: inference routing model tiering prompt caching and streaming architecture on AWS/EKS

Were looking for someone who

• Has shipped full-stack AI products to production not just prototypes but systems that serve real users reliably

• Is proficient in TypeScript or modern web frameworks (React ) with strong backend fundamentals

• Has hands-on experience with LLM APIs (Anthropic OpenAI) with a strong grasp on tool-calling structured output and streaming

• Can build and iterate quickly youre a builder who ships not someone who over-plans

• Has experience with one or more of: agent orchestration MCP RAG structured extraction or model evaluation

Whats in it for You:

• Opportunity for high growth

• High autonomy ownership culture

• Comprehensive health benefits plan

• Working out of our downtown San Francisco office space

• Unlimited PTO

Required Experience:

IC