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
