Senior Automation & API Engineer and Marketing Stuff Lover

How to Manage a Small Law Firm•Miami, FL

5d•Remote

About The Position

We are looking for a highly technical, highly creative Senior Automation & API Engineer who loves making systems talk to each other, building things that didn’t exist yesterday, sell stuff, put butts in seats for workshops, and occasionally making the rest of us say: “Wait. You can DO that?” This is not a traditional IT position. And it’s definitely not a “here’s a ticket, please code exactly what we described” kind of job. We want a builder, inventor, experimenter, and creative problem solver who can take a business problem, or sometimes just a half-baked “Wouldn’t it be amazing if…?” and figure out how to turn it into something real. You’ll work heavily with APIs, AI, agentic automations, GoHighLevel, Replit, Lovable, Hermes agents, and whatever new tool appeared on the internet approximately 14 minutes ago. We move fast. Technology moves faster. We want someone who thinks that’s fun. We help people, to help them we need them show up, so we build tech that helps us help people.

Requirements

Very good at APIs (REST APIs, JSON, Webhooks, OAuth 2.0, API authentication, GET / POST / PUT / PATCH / DELETE, Rate limits, Pagination, Error handling, Logging, Databases, Data mapping and transformation, Git/version control, Testing, Debugging, Integration architecture).
Excited about building agentic workflows where AI can reason through a task, access information, call tools and APIs, make decisions, interact with business systems, trigger actions, and hand work between agents and humans.
Comfortable using new tools creatively and intelligently to move from idea to working software very quickly.
Deep GoHighLevel experience (APIs, webhooks, contacts, opportunities, calendars, workflows, custom fields, tags, pipelines, forms, conversations, attribution, automations, and integrations with external applications).
Creative problem-solving skills.
Ability to see possibilities other people don’t see.
Ability to combine existing tools in unexpected ways.
Curious, resourceful, and experimental.
Ability to read documentation and build things just to see whether they can be built.
Self-starter who doesn't need constant supervision.
Proactive in troubleshooting and problem-solving.

Nice To Haves

Experience with AI agents, Hermes agents, MCP, tool calling, structured outputs, memory/context systems, RAG, orchestration, and multi-agent systems.
Actively experimenting with the latest in agentic AI.
Experience with OpenAI API, Claude / Anthropic.
Experience with Replit, Lovable.
Experience with Python, JavaScript / TypeScript, Node.js.
Experience with SQL / PostgreSQL, Supabase.
Experience with GitHub.
Experience with Make, Zapier, n8n.
Experience with Cloudflare.
Experience with AWS / Google Cloud.
Experience with Twilio, Stripe.
Experience with CRM architecture, Marketing automation, Data pipelines, Internal business applications.
Obsessed with some powerful new tool not on the list.

Responsibilities

Design, build, connect, automate, experiment, and occasionally perform minor technological miracles.
Build applications, landing pages, marketing automations, internal tools, dashboards, prototypes, and utilities using Replit, Lovable, and similar AI-powered development platforms.
Build sophisticated integrations with GoHighLevel (GHL).
Design and build agentic automations that can reason, make decisions, use tools, take actions, and move work forward.
Build and orchestrate AI agents and multi-agent workflows.
Build and experiment with Hermes or other agents.
Connect AI agents to APIs, databases, CRMs, internal systems, and external tools.
Create systems where agents can perform useful business work, not just chat.
Build and consume REST APIs.
Create and manage webhooks.
Work with OAuth, API keys, tokens, permissions, and authentication.
Design workflows that move data reliably between multiple systems.
Integrate AI models and AI services into real business processes.
Build custom solutions when the thing we want doesn’t conveniently exist.
Prototype ideas quickly and figure out what’s possible.
Turn repetitive human work into intelligent automated workflows.
Troubleshoot integrations and figure out why something decided to stop working at 2:17 Tuesday afternoon.
Monitor automations so they don’t quietly go rogue.
Document what you build so nobody has to perform digital archaeology six months later.
Constantly look at how we work and ask: “Could we make this smarter, faster, simpler, or automatic?”