Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4330398351&f_AL=true&f_TPR=r86400&f_WT=2&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=100 Job Description: Founding AI Engineer (LLMs & Autonomous Agents) Actual Education · United States (Remote) Easy Apply Save Save Founding AI Engineer (LLMs & Autonomous Agents) at Actual Education Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job We are hiring a Founding AI Engineer for a specially funded project involving AI and education to lead the design, development, and deployment of production-grade LLM and autonomous agent systems. This is a hands-on, high-ownership role for someone who has already shipped AI systems and wants to define the technical foundation of a company from the ground up. You will own core AI architecture decisions, work closely with leadership on product direction, and build systems that operate reliably at scale, not just demos or experiments. If you’ve built real LLM systems, understand their failure modes, and want to push agent-based AI into production, this role is for you. What You'll Do Architect, build, and deploy LLM-powered and agent-based systems end-to-end Lead model selection, fine-tuning, evaluation, and optimization for real-world use cases Design scalable, reliable AI system architectures (inference, orchestration, monitoring) Develop autonomous agents capable of executing complex, multi-step tasks Collaborate with product and engineering leadership to translate business goals into AI solutions Stay at the frontier of LLMs, agents, and AI infrastructure and apply what matters in production Own performance, cost, reliability, and safety tradeoffs across AI systems What We're Looking For Strong candidates typically have: Proven experience building and deploying LLMs or AI agent systems in production Strong background in machine learning, NLP, and deep learning Experience with LLM fine-tuning, RLHF/RLAIF, or agent frameworks Deep understanding of AI system architecture and deployment at scale Ability to reason clearly about tradeoffs (latency, cost, accuracy, reliability) Experience at Microsoft, Google (Gemini), Meta, or comparable AI-driven organizations Contributions to open-source ML/AI tooling or infrastructure Experience designing evaluation frameworks for LLMs and agents Prior founding-engineer or early-stage startup experience Educational degrees from top universities are preferred Exceptional talent without formal academic credentials will still be considered Why Join Us? Founding level ownership of the company’s AI stack Real impact on product direction and system design High autonomy and technical decision-making authority Build systems that matter, not internal demos Compensation competitive with Silicon Valley startups, alongside equity incentives Compensation will be determined on an individual basis depending on the candidate’s qualifications and experience Who this role is *not* for Candidates focused solely on prompt engineering Those without production experience Research only roles with no deployment responsibility