AI Infra Engineer

Company: Serotonin

Location: Chicago, Los Angeles, New York, San Francisco, Toronto (Remote)

Compensation: $105K–$175K

Employment Type: Full-time

About the Company

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. At the core of the 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

Serotonin is building an intelligence layer, and this role owns 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 accounts and campaigns are run, 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 intelligence capabilities real and repeatable. The best outcome is a system three teams depend on independently six months from now, not a one-off solution for one team.

You'll work directly with marketing leads and client teams, understand how they actually operate before building 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 use
• Build multi-step AI agents that automate research, synthesis, monitoring, and reporting—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
• Spend real time with internal teams across marketing, PR, content, growth, and social before writing 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 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; 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 don't act as the foundation of your practice; you reach for them when they're genuinely the fastest path to a reliable outcome

Nice to Have

• On-chain data experience: 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
• Crypto experience

This Role Is Right For You If

• You've built something end to end and 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
• Your GitHub 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
• You don't wait to be told what to build next; you take full ownership of your work from idea to maintenance
• You're 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