AI Infra Engineer

Salary Range: 90000 to 150000 (Currency: USD) (Pay period: per-year-salary)

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 teams 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 teams 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

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.

This Role Is Right For You If...

You've built something end to end and you own it, not "contributed to" or "worked on the team that built it," but the person who designed it, shipped it, and is still maintaining it. You care more about making three teams faster than shipping something impressive that one person uses, and your GitHub actually reflects what you can do without needing to be asked for a portfolio.

You've probably come up through a founding engineer role, an early-stage startup, or as an independent builder, ideally somewhere in data, intelligence, or crypto. You pick up new domains fast and use AI as a core part of how you do that. You ship in days, you're not precious about being wrong early, and you know the difference between using AI as a multiplier versus using it to paper over a weak foundation.

We hire people who don't wait to be told what to build next, who take full ownership of their work from idea to maintenance, and who are just as effective working async with someone in Singapore as they are with someone in their timezone.

Benefits

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