Applied AI Engineer

Recruiting From ScratchSan Francisco, CA
Onsite

About The Position

Our client is building autonomous computer-usage agents designed to automate the messiest workflows in enterprise finance operations. Their systems operate directly through real-world interfaces — navigating portals, processing documents, and orchestrating complex workflows across fragmented systems. Backed by leading investors including Amplify, the company recently raised a $6M seed round and is rapidly scaling its engineering team. This is a rare opportunity to join an elite applied AI startup at the earliest stage and help define the intelligence layer powering next-generation software agents.

Requirements

  • 1–4 years of experience in applied AI / ML engineering
  • Strong production Python experience
  • Experience building and shipping AI systems beyond research prototypes
  • Applied ML experience in production environments
  • Experience building AI agents, RL systems, or adaptive automation systems
  • Strong experimentation mindset
  • Comfortable owning systems end-to-end
  • Strong product intuition
  • Excellent communication and concise thinking
  • Comfortable working fully onsite in SF

Nice To Haves

  • Experience with AI agents / autonomous systems
  • Reinforcement learning exposure
  • LLM systems in production
  • Inference optimization
  • Fine-tuning pipelines
  • Experience at AI-native startups
  • Strong systems-level engineering
  • MS / PhD in AI / ML / CS

Responsibilities

  • Design and improve AI systems powering autonomous computer-use agents
  • Build adaptive agent architectures for dynamic environments
  • Develop fine-tuning pipelines for customer-specific workflows
  • Improve browser-agent reliability and decision-making
  • Optimize inference latency across the stack
  • Build evaluation frameworks and experimentation pipelines
  • Design feedback loops that improve agent performance over time
  • Work on unstructured document understanding systems
  • Translate frontier AI research into production systems
  • Improve tool-use reasoning and agent reliability
  • Ship production-grade applied AI systems end-to-end
  • Help define the technical direction of the company’s intelligence platform

Benefits

  • Competitive equity
  • Visa sponsorship available
  • High ownership from day one
  • Direct founder exposure
  • Research-to-production ownership
  • Exceptional upside
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