AI Infra Engineer

Software Engineering (non-negotiable)

Python, fluently: pipelines, agent systems, data processing, scripting

Active GitHub with meaningful commit history, not forks and tutorials

REST and GraphQL API experience building integrations, not configuring connectors

SQL: schema design, not just pulling rows

Full-stack development: Next.js or equivalent; you've shipped something users interact with in production

LLM API usage: building directly with Anthropic or OpenAI APIs, including agent orchestration frameworks (LangGraph, CrewAI, or custom)

Vector databases and RAG: embeddings, retrieval pipelines, semantic search

Intelligence and Signal Layer

Experience ingesting and fusing data from multiple external sources: social APIs (X, LinkedIn), ads APIs (Meta, Google), or similar multi-source environments

Ability to translate raw signal into structured, actionable output for non-technical stakeholders

Experience building dashboards or reporting layers others depend on operationally, not just internal notebooks

AI Tooling

No-code tools (Make, n8n, Zapier) are part of your toolkit but they don’t act as the foundation of your practice. You reach for them when they're genuinely the fastest path to a reliable outcome. A strong developer who knows when to use no-code will always outperform a no-code specialist who can't own the harder technical work.

On-Chain Data (strong plus)

Dune Analytics or equivalent SQL querying against on-chain data

Familiarity with wallet activity, token flows, and what on-chain behavior signals about an entity or protocol

Not required, but you should be the kind of person who picks up a new data domain fast

Domain

Working knowledge of how GTM and marketing teams operate day to day: PR, content, growth, social. Enough to know where intelligence systems create real leverage. Crypto experience is a meaningful plus.