AI Infra Engineer

You will build and maintain an intelligence layer by designing data pipelines, agentic AI workflows, and full-stack tools that surface actionable insights. You pull signals from social platforms, on-chain activity, and paid media, and turn them into structured intelligence used by campaigns and accounts. You design pipelines that ingest data from multiple external APIs, enrich and model it, and create semantic layers that humans and AI agents can actually use. You build multi-step AI agents that automate research, synthesis, monitoring, and reporting, with memory, defined tools, and structured output schemas. You develop live dashboards and applications so intelligence is accessible across client accounts. You collaborate with stakeholders to map how work moves, identify signal gaps, and build systems that solve for multiple needs from a single architecture. You stay ahead of the AI tooling landscape, choosing when a no-code connector is appropriate and when you need to build, and you define how impact is measured and how to report it.

Responsibilities

Build and maintain agentic systems that continuously collect, process, and surface signals from social platforms, on-chain data, and ads ecosystems. Turn raw, multi-source data into structured intelligence that informs real account and campaign decisions.
Design and maintain the pipelines that power those systems: ingesting from multiple external APIs, enriching and modeling data, and building semantic layers that both humans and AI agents can actually use.
Build multi-step AI agents that automate research, synthesis, monitoring, and reporting. Not single-call LLM wrappers, but orchestrated systems with memory, defined tools, and structured output schemas that teams can depend on.
Build full-stack applications and dashboards that make intelligence accessible across client accounts. Live tools, not decks.
Spend real time with internal stakeholders across marketing, PR, content, growth, and social before writing a line of code. Map how work actually moves, identify where signal gaps create friction, and build systems that solve for multiple stakeholders from a single architecture.
Stay ahead of the AI tooling landscape. Know when a no-code connector is the right call and when you need to build. Define how impact gets measured, and build the reporting to prove it.

Requirements

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
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
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.
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
Working knowledge of how GTM and marketing teams operate day to day: PR, content, growth, social. Crypto experience is a meaningful plus.
This role is right for you if you've built something end to end and own it, not just contributed to a project or a team

Benefits

Health Insurance (US Only)
401(k) (US Only)
Remote Work Environment
Parental Leave