Hampton North
Founding Prinicipal AI Engineer (San Mateo)
Hampton North, San Mateo, California, United States, 94409
Hampton North is partnering with an Seed Stage, venture-backed cybersecurity startup building the security and identity layer for the AI era.
Theyre solving one of the most pressing challenges in modern enterprise tech: how to safely deploy, orchestrate, and govern autonomous AI agents inside real-world environments.
Theyre now hiring a Founding AI Engineer to help build intelligent agent systems, secure orchestration layers, and the AI backbone of their platform.
Compensation:
200-270k base + Equity Logistics:
Hybrid in San Mateo, CA office
Youll be a core technical hire designing and building multi-agent AI systems, secure backends, long-context planning engines, and the orchestration logic that enables agents to interact safely with enterprise systems. Youll work closely with the founders to shape product direction, prototype rapidly, and define the agentic and AI infrastructure at the heart of the platform. This is a hands-on, high-ownership role at the frontier of AI-native security.
Here's what you'll be doing: Build multi-agent systems using secure agent-to-agent communication protocols Integrate standards like MCP to give agents safe access to tools, APIs, and structured memory Develop backend infrastructure for agent orchestration, state management, and autonomous workflows Build and fine-tune LLM-powered systems for identity defense, anomaly detection, and security automation Create RAG pipelines, vector search, and context-aware reasoning engines Develop secure APIs and microservices enabling agents to operate across enterprise environments Prototype quickly, work directly with founders and early customers, and ship iteratively
And what you need to have: 5+ years in software/backend engineering, including 2+ years in AI/ML or agentic systems Strong Python engineering skills (FastAPI, Flask, gRPC) Experience with agentic AI frameworks (LangChain, AutoGen, LangGraph, etc.) Familiarity with A2A protocols and agent collaboration patterns Experience building LLMs, RAG systems, embeddings, and vector search Cloud-native experience with Docker, Kubernetes, or serverless Ability to operate independently and own end-to-end outcomes
Please note this role is unable to offer sponsorship
Theyre now hiring a Founding AI Engineer to help build intelligent agent systems, secure orchestration layers, and the AI backbone of their platform.
Compensation:
200-270k base + Equity Logistics:
Hybrid in San Mateo, CA office
Youll be a core technical hire designing and building multi-agent AI systems, secure backends, long-context planning engines, and the orchestration logic that enables agents to interact safely with enterprise systems. Youll work closely with the founders to shape product direction, prototype rapidly, and define the agentic and AI infrastructure at the heart of the platform. This is a hands-on, high-ownership role at the frontier of AI-native security.
Here's what you'll be doing: Build multi-agent systems using secure agent-to-agent communication protocols Integrate standards like MCP to give agents safe access to tools, APIs, and structured memory Develop backend infrastructure for agent orchestration, state management, and autonomous workflows Build and fine-tune LLM-powered systems for identity defense, anomaly detection, and security automation Create RAG pipelines, vector search, and context-aware reasoning engines Develop secure APIs and microservices enabling agents to operate across enterprise environments Prototype quickly, work directly with founders and early customers, and ship iteratively
And what you need to have: 5+ years in software/backend engineering, including 2+ years in AI/ML or agentic systems Strong Python engineering skills (FastAPI, Flask, gRPC) Experience with agentic AI frameworks (LangChain, AutoGen, LangGraph, etc.) Familiarity with A2A protocols and agent collaboration patterns Experience building LLMs, RAG systems, embeddings, and vector search Cloud-native experience with Docker, Kubernetes, or serverless Ability to operate independently and own end-to-end outcomes
Please note this role is unable to offer sponsorship