Job Title: Founding AI Systems Engineer Company Name: Welta Inc. Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4369118215&distance=25.0&f_AL=true&f_TPR=r3600&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&spellCorrectionEnabled=true&start=25 Job Description: Welta Inc. Share Show more options Founding AI Systems Engineer San Francisco, CA · 38 minutes ago · 19 applicants No response insights available yet Remote Matches your job preferences, workplace type is Remote. Full-time Matches your job preferences, job type is Full-time. Easy Apply Save Save Founding AI Systems Engineer at {:companyName} Founding AI Systems Engineer Welta Inc. · San Francisco, CA (Remote) Easy Apply Save Save Founding AI Systems Engineer at {:companyName} 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 Meet the hiring team Steven Walxim 3rd Co-Founder of Stealth-AI-B2B-SaaS Startup, PhD@PKU Job poster Message About the job Founding AI Systems Engineer WeltaAI is a Bay Area B2B startup building autonomous AI marketing agents for DTC brands and B2B companies. We're looking for a Founding AI Systems Engineer to design and build our multi-agent platform from the ground up. Remote friendly. Competitive pay + equity. Requirements: Experience with multi-agent architectures, tool use, and sub-agent design Hands-on experience with LLM API integration, RAG, and tool agents Distributed systems design experience with model training/fine-tuning Proficient in Python, with strong PyTorch or TensorFlow skills Familiar with JAX / NumPy 3-5 years experience Bonus: Agent orchestration frameworks (LangGraph, CrewAI, etc.) Data flow tools (Kafka, Airflow, etc.) GPU inference / LLM optimization Martech / Adtech background About us: We build AI marketing agents that cut costs 50% and double ROI for our clients. Paying customers include household-name brands. Just closed Pre-Seed. Wharton professor advisor. Founding team from PKU PhD, Ex-MiniMax, AWS, Microsoft.