Applied AI Engineer

Slash Financial; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive health + benefits plan

Unlimited PTO

High autonomy + ownership culture

Job summary

Slash Financial is seeking a talented engineer to join its new AI-native financial platform team in San Francisco. As a member of Slash AI Labs, you will ship full-stack AI features, enhance agent runtimes, and design multi-surface experiences. The ideal candidate has strong proficiency in TypeScript and experience with LLM APIs. This role offers high growth opportunities, a robust health benefits plan, and unlimited PTO, all within a supportive workspace in downtown San Francisco.

Qualifications

• Experience shipping full-stack AI products to production.
• Proficient in TypeScript or modern web frameworks.
• Hands-on experience with LLM APIs such as Anthropic and OpenAI.

Responsibilities

• Ship full-stack AI features end to end.
• Build and extend agent runtime and tooling.
• Design and implement multi-surface agent experiences.

Skills

Full-stack AI product development

Proficiency in TypeScript

Experience with LLM APIs

Backend fundamentals

Experience with modern web frameworks

Tools

React

Next.js

Node.js

Job description

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. That's why we're 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 we're forming Slash AI Labs, a small, high-leverage team responsible for bringing AI deeply into every surface of the product. We've 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. You'll be an early member of this team and helping incubate what comes next. If you want to build production AI systems at a fintech that's growing fast and ships constantly, this is the role.

What you’ll 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

We’re 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, 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

What's 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