Applied AI Engineer
Slash Financial is a financial technology company offering a business-finance platform. It provides business banking, corporate cards, stablecoin payments, treasury, working capital, invoicing, global USD accounts, and bill pay for businesses across industries.
Projects
About Slash Financial
Slash Financial provides an integrated business-finance platform designed around industry-specific workflows. Its offerings include business banking and checking, Visa corporate charge cards with spend controls, ACH and wire payments, invoicing, treasury, working capital through partners, accounting and expense-management tools, analytics, multi-entity management, and read/write API access. It also supports stablecoin payments, allowing eligible businesses to send and receive USDC and USDT and convert between fiat and crypto. Slash serves startups, enterprises, e-commerce businesses, agencies, contractors, affiliate marketers, healthcare businesses, Web3 companies, wholesalers, and travel agencies.
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