Applied AI Engineer

Slash Financial
San Francisco Office, US
Remote

Who this role is best for

Best suited to mid-level engineers with full-stack AI product experience working in fintech who thrive in high-autonomy, in-person settings.

Best fit for

  • Engineers who have shipped production AI systems beyond prototypes
    — “Has shipped full-stack AI products to production
  • Builders comfortable with rapid iteration in a fast-growing fintech
    — “Can build and iterate quickly, you're a builder who ships
  • Full-stack developers with strong backend and TypeScript proficiency
    — “Is proficient in TypeScript or modern web frameworks

Things to consider

  • In-person work in San Francisco is a firm requirement
    — “Working out of our downtown San Francisco office space
  • Expect deep integration of AI across multiple product surfaces
    — “Bringing AI deeply into every surface of the product

How to stand out

  • Showcase specific examples of production-grade AI systems you've built
    — “Systems that serve real users reliably
  • Highlight experience with Anthropic/OpenAI APIs and structured output
    — “Has hands-on experience with LLM APIs
  • Demonstrate expertise in agent orchestration or RAG implementations
    — “Experience with one or more of: agent orchestration
Pace · SteadyCollaboration · MediumAutonomy · HighDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • shipped full-stack ai products
  • built and extended agent runtime
  • designed multi-surface agent experiences
Typical background
ai product developmentfull-stack engineering

Skills & requirements

Required

Full-stack Ai DevelopmentLlm ApisTypeScriptReactNode.jsPrompt EngineeringAgent OrchestrationApi Integration

Preferred

Anthropic ApiOpenai ApiVercel Ai SdkCustom Orchestration Layer

Stack & domain

TypeScriptReactNext.jsNode.jsLlm ApisAnthropicOpenaiVercel Ai SdkCustom Orchestration LayerInference RoutingModel TieringPrompt CachingStreaming ArchitectureAws/eksPrompt EngineeringAgent OrchestrationTool ExecutionMcp ServersGraph-based Conversation StateContext CompactionMulti-surface Agent ExperiencesWebSlackApi IntegrationInternal Ai ToolingModel Evaluation FrameworksPrompt ManagementLlm Observability ToolingAbility To Build And Iterate QuicklyAbility To Ship Full-stack Ai Products To ProductionFintechAi-native Financial PlatformAgent PlatformCustom Orchestration RuntimeTool-callingStructured Ontology GraphMulti-surface DeliveryAi Infrastructure

About the role

Original posting from Slash Financial via Ashby

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

Source: Slash Financial careers (Ashby)

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