AI Engineer (Core)

Edge Tech•San Francisco, CA

1d•Onsite

About The Position

This company is building the infrastructure and agentic systems that automate real-world commercial real estate development workflows from site sourcing and due diligence through to infrastructure planning and execution. Their customers already include some of the biggest names in institutional real estate, technology, and infrastructure. This isn't a role where you inherit narrow ownership inside a large org. You'll help shape the architecture, product direction, engineering culture, and AI systems from the ground up. They're looking for high-agency software engineers who thrive in ambiguity, move fast, and care deeply about building high-quality systems. They are less focused on candidates who have spent years training LLMs and more interested in engineers who know how to ship production software, think independently, and operate with strong ownership.

Requirements

Strong software engineering fundamentals: Production experience building scalable systems with real ownership and operational responsibility.
High agency and startup mentality: Comfortable operating in ambiguity, solving problems independently, and moving quickly without heavy structure.
Technical depth: Experience with modern engineering environments across backend, infrastructure, or full-stack systems.
Strong communication and technical judgment: Able to defend architectural decisions and communicate trade-offs clearly.
Curiosity around AI systems: Experience with LLMs, agent frameworks, or AI-native tooling is a plus, but not mandatory.

Nice To Haves

Candidates with purely research-focused ML backgrounds or candidates looking for highly defined 9-5 scope are unlikely to be a fit.

Responsibilities

Build and evolve AI-native systems - Work across agent orchestration, workflows, retrieval systems, infrastructure, and user-facing product experiences.
Ship production software fast - Design, build, debug, and improve systems used internally and by enterprise customers every day.
Own broad technical scope - Engineers work across product, backend, infrastructure, deployment, and customer problem-solving.
Help shape technical direction - Strong opinions are valued. You'll be expected to think critically about architecture, tooling, frameworks, and engineering trade-offs.
Work closely with a tiny, high-calibre team - The company operates with very little process and a high degree of trust, ownership, and autonomy.