AI Infra Engineer

Serotonin

AI Infra Engineer at Serotonin building and maintaining systems for competitive intelligence and data engineering. Turning signals into structured intelligence for marketing and client campaigns.

Posted 6/26/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

GraphQLJavaScriptNext.jsPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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
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.

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

PythonREST APIGraphQL APISQLFull-stack developmentLLM API usageVector databasesData processingData modelingDashboard development

Soft Skills

CollaborationCommunicationProblem-solvingAnalytical thinkingAdaptabilityStakeholder engagementResearchSynthesisMonitoringReporting