Founding Engineer (Agentic Systems & Ai Infrastructure) - Fully Remote

Title : Founding Engineer (Agentic Systems & AI Infrastructure)Location : Remote | Full-Time | Founding TeamAbout the CompanyAn early-stage AI infrastructure startup is building a next-generation operating system for data—combining dynamic ontology engines with advanced agentic systems capable of autonomous, transparent workflow execution. Backed by tier-one investors and already partnering with global enterprises, the company is defining a new category of AI middleware.Role OverviewAs a Founding Staff Engineer, you’ll take end-to-end ownership of core AI infrastructure and help shape the technical foundation from the ground up. This role is highly hands-on, working directly with the founding team to architect agent systems, semantic layers, reasoning engines, and distributed runtime environments.What You’ll Work On- Agent Infrastructure : Orchestration, memory, task planning, and execution logic using Python and open-source LLM frameworks.- Ontology & Semantic Systems : Automated layers that unify structured and unstructured data.- Agent Runtime : Planning, tool execution, distributed system observability, and robust runtime workflows.- Data Infrastructure : Metadata systems, connectors, ETL pipelines, and vectorized storage.- Reasoning Engines : Hybrid LLM + symbolic pipelines, task decomposition, and long-term memory.- Engineering Culture : Define standards for code quality, system design, and technical velocity while contributing to early hiring.What You Bring- 5+ years in backend, infrastructure, or AI systems engineering.- Strong Python skills plus experience with LLMs, vector DBs, LangChain, or custom agent tooling.- Background in agentic systems, reasoning pipelines, or semantic / ontology-based architectures.- Familiarity with knowledge graphs, schema reconciliation, or semantic modeling.- Experience across modern data infrastructure (e.G., dbt, BigQuery, Airflow) and cloud environments (AWS / GCP).- Prior startup or early-stage experience; strong preference for candidates who have built AI or data infrastructure at scale.- A builder mindset : fast, hands-on, customer-centric, and comfortable operating in ambiguity.Why Join- Work on frontier AI infrastructure with real enterprise adoption.- Founding-level ownership and decision-making influence.- Move fast and solve complex technical problems with minimal bureaucracy.- Backing from leading US and European investors with a $M