Applied AI Engineer

Slash Financial•San Francisco, CA

23h•Onsite

About The Position

Slash is building an AI-native financial platform, and is forming Slash AI Labs, a small, high-leverage team responsible for deeply integrating AI into every product surface. The team has already shipped Twin, an 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. As an early member of this team, you will help incubate what comes next. This role is for someone who wants to build production AI systems at a fast-growing fintech that ships constantly.

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, you're 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

Responsibilities

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