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Applied AI Engineer

Recruiting From Scratch (RFS Group)
San Francisco, CA
On-siteUSD 180,000 - 280,000 / year

About this role

Applied AI Engineer

Full time

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San Francisco, CA | Onsite

1 - 3 Years of Experience

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Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

Title of Role: Applied AI Engineer

Location: San Francisco, CA (On-site, 5 days/week) Company Stage of Funding: Seed (~$6M raised, backed by Amplify) Office Type: On-site Salary: $180,000 – $280,000 + Competitive Equity Visa: Visa sponsorship available (including new H1B applications; must start before end of June)

Company Description

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.

What You Will Do

  • 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

Ideal Candidate Background

  • 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

Preferred

  • 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

Strong Signals

  • Applied AI roles at frontier AI companies
  • Agentic workflow experience
  • Shipped production AI systems
  • Research-to-production ownership
  • Strong startup execution
  • Clear product thinking
  • Concise communication style
  • Experience at high-velocity startups

Compensation and Benefits

Base salary: $180,000 – $280,000 Equity: Competitive equity Visa sponsorship available High ownership from day one Direct founder exposure Research-to-production ownership Exceptional upside

Why Join

This is an opportunity to build the intelligence layer powering next-generation enterprise automation.

You’ll work at the frontier of autonomous agents, taking cutting-edge AI research into production systems that solve real operational complexity.

If you’re deeply technical, product-minded, and excited by building adaptive AI systems from first principles, this role offers exceptional ownership and upside.

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