Applied AI Engineer
Slash is a financial technology company that provides a banking platform and expense management software. It offers features tailored to specific industries, including high-yield accounts, corporate cards with cashback, working capital, and modern capabilities like crypto on/off ramps and developer APIs.
Projects
About Slash
Slash is a financial technology company, not a bank, that provides a comprehensive financial platform for businesses, including unified banking for crypto companies. It offers a single dashboard to manage both crypto and fiat assets. Services include high-yield checking and savings accounts, corporate cards with up to 2% cashback, working capital, and seamless stablecoin (USDC, USDT) on/off-ramps and payments. The company also issues its own stablecoin, USDSL, built on the Base network. Slash provides developer-friendly APIs for automation and simplified multi-entity management, catering to industries like marketing, e-commerce, and Web3. Banking services are provided through partners such as Column N.A. and Piermont Bank, while digital asset services are offered in partnership with third parties like Bridge Building Inc.
Skills
About the Role
You'll be an early member of Slash AI Labs, a small, high-leverage team responsible for bringing AI deeply into every surface of the product. You'll help incubate what comes next after Twin, the company's 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. If you want to build production AI systems at a fast-growing fintech that ships constantly, you'll ship full-stack AI features end to end, extend the agent runtime, design multi-surface agent experiences, build internal AI tooling, and work directly with leading LLM APIs and infrastructure.
Requirements
- 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, Next.js, Node.js) 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
- Has experience with one or more of: agent orchestration, MCP, RAG, structured extraction, or model evaluation
Responsibilities
- Ship full-stack AI features end to end, from prompt engineering and agent orchestration to React UI and API integration
- Build and extend the 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 the custom orchestration layer to solve challenging problems in tool-calling, long-context management, and multi-step reasoning
- Improve and scale AI infrastructure: inference routing, model tiering, prompt caching, and streaming architecture on AWS/EKS
Benefits
- Comprehensive health + benefits plan
- Unlimited PTO