Serotonin

Marketing product studio for blockchain technology

AI Infrastructure Engineer

AI Application Engineering +1Confirmed live in the last 24 hours

Full-time$90k - $150k /yrHybrid

About the Job

Requirements

Fluency in Python for pipelines, agent systems, data processing, and scripting.
An active GitHub profile with meaningful commit history, rather than forks and tutorials.
Experience building integrations with REST and GraphQL APIs, rather than configuring connectors.
SQL skills including schema design, not just pulling rows.
Full-stack development experience using Next.js or an equivalent, with a production application shipped for users.
Experience building directly with Anthropic or OpenAI APIs, including agent orchestration frameworks such as LangGraph, CrewAI, or custom frameworks.
Experience with vector databases and retrieval-augmented generation, including embeddings, retrieval pipelines, and semantic search.
Experience ingesting and fusing data from multiple external sources, such as social APIs (X, LinkedIn) and advertising APIs (Meta, Google), or similar multi-source environments.
Ability to translate raw signals into structured, actionable output for non-technical stakeholders.
Experience building dashboards or reporting layers that others depend on operationally, not just internal notebooks.
Use of no-code tools such as Make, n8n, or Zapier when they are the fastest path to a reliable outcome, without relying on them as the foundation of the work.
Ability to take ownership of an end-to-end system, including design, shipping, and ongoing maintenance.
Ability to pick up new domains quickly and use AI as a core part of that work.

Responsibilities

Build and maintain agentic systems that continuously collect, process, and surface signals from social platforms, on-chain data, and advertising ecosystems, and turn raw multi-source data into structured intelligence that informs account and campaign decisions.
Design and maintain system pipelines by ingesting data from multiple external APIs, enriching and modeling data, and building semantic layers usable by people and AI agents.
Build multi-step AI agents for research, synthesis, monitoring, and reporting, with orchestration, memory, defined tools, and structured output schemas.
Build full-stack applications and dashboards that make intelligence accessible across client accounts.
Work with internal marketing, public relations, content, growth, and social teams to map workflows, identify signal gaps, and build systems that solve needs across multiple teams from a shared architecture.
Evaluate the AI tooling landscape, choose when to use no-code connectors or custom-built solutions, define impact measures, and build reporting to demonstrate impact.
Own work from initial idea through shipping and ongoing maintenance, and build systems that make multiple teams more effective.

Desired Qualifications

Experience with Dune Analytics or equivalent SQL querying against on-chain data.
Familiarity with wallet activity, token flows, and interpreting what on-chain behavior signals about an entity or protocol.
Working knowledge of the day-to-day operations of go-to-market and marketing teams, including public relations, content, growth, and social.
Crypto experience.

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

Who Is Serotonin

Serotonin is the top go-to-market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, crypto infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels, including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the crypto ecosystem, connecting builders and founders with essential resources to drive business growth.

About the Role

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. 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

About the Company

Serotonin

Marketing product studio for blockchain technology

Serotonin is a marketing firm and product studio that helps breakthrough technology and blockchain companies establish a strong market presence. It combines marketing strategy, product development, and media outreach to support clients through campaigns, product launches, and strategic consulting. The team brings expertise in digital marketing, blockchain technology, and public relations to deliver a holistic service. Unlike general agencies, Serotonin focuses specifically on transformative tech and Web3, offering both branding and hands-on product development to accelerate client growth. The goal is to position brands for breakout success in fast-moving tech and blockchain markets.

Company size: 51-200
Company stage: Not listed
Total funding: $4.3M
Headquarters: New York City, New York
Founded: 2020

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