Autonomous Systems Engineer

Location

Onsite, San Francisco

Seniority

Early-career (New grads to 2 years’ experience)

Start Date

Immediate or within 4–6 weeks

Team

Reports to CEO, works closely with founding team and functional leads

Overview

We are hiring an Autonomous Systems Engineer to design and deploy internal AI agents that help HitPay scale operations, reduce costs, and unlock new business opportunities. This person will work across sales, support, compliance, and operations teams to build production-grade, LLM-powered workflows.

This is a highly technical, high-ownership role — ideal for a sharp, early-career engineer who wants to build real-world agentic systems, not just prototypes.

Target Profile

• Graduates from top CS/engineering universities (e.g. Stanford, MIT, Berkeley, CMU, Waterloo, Harvard, etc.)
• 0–2 years of experience; internships or academic projects in AI/LLMs/agentic workflows are valuable
• Strong backend or full-stack engineering foundation (Python preferred)
• Demonstrated interest or side projects involving:
  • LLM frameworks (LangChain, OpenAI, Vercel AI SDK, etc.)
  • Workflow automation
  • Supabase, Clerk, V0.dev, or similar low-code tools
• Bonus: Experience building internal tools, lightweight agents, or business automations

Top Traits to Look For

• Strong builder mindset — enjoys prototyping, testing, and shipping fast
• Passionate about LLMs and AI use in real business contexts
• Curious, autonomous, and comfortable working directly with leadership
• Capable of full project ownership: scoping → building → deploying → improving

First 90 Days Goals

• Identify 1–2 high-impact internal workflows for automation
• Deliver a working MVP agent with real internal users
• Deploy at least one fully autonomous agent to production (e.g. KYC reviewer, internal ticket triage)
• Contribute to a roadmap for future agentic systems at HitPay

Compensation / Logistics

• Full-time, in-person in San Francisco
• Competitive base salary and equity
• Visa sponsorship available for outstanding candidates