AI Infra Engineer

Role Description

We're building an intelligence layer at Serotonin, and we need someone to own it end to end. This role sits at the intersection of competitive intelligence, data engineering, and agentic AI. You'll pull signals from social platforms, on-chain activity, and paid media, and turn them into structured intelligence that shapes how we run accounts and campaigns, both internally and for clients.

This is a systems role, not a workflow automation role. You'll design and maintain the data pipelines, agentic workflows, and full-stack applications that make our intelligence capabilities real and repeatable. The best outcome isn't a one-off solution for one team; rather, it looks like a system three teams depend on independently six months from now.

You'll work directly with marketing leads and client teams, understand how they actually operate before you build anything, and ship things that are live, used, and measurable.

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.
• Build full-stack applications and dashboards that make intelligence accessible across client accounts.
• Spend real time with internal teams across marketing, PR, content, growth, and social before writing a line of code.
• Stay ahead of the AI tooling landscape.

Qualifications

• 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.
• 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
• Working knowledge of how GTM and marketing teams operate day to day: PR, content, growth, social.

Requirements

• You've built something end to end and you own it, not "contributed to" or "worked on the team that built it."
• You care more about making three teams faster than shipping something impressive that one person uses.
• You probably come up through a founding engineer role, an early-stage startup, or as an independent builder.
• 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.
• You know the difference between using AI as a multiplier versus using it to paper over a weak foundation.
• You take full ownership of your work from idea to maintenance.
• You are effective working async with someone in Singapore as you are with someone in your timezone.

Benefits

• Competitive Salary
• Health Insurance (US Only)
• 401(k) (US Only)
• Remote Work Environment
• Parental Leave
• $90,000 - $150,000 a year