AI Implementation Engineer

You will own the end-to-end implementation and operation of AI powered outbound campaigns for our clients. That means taking a client brief, understanding their target market, building the systems that research and engage prospects, and making sure those systems run reliably without handholding. This is not a "connect two Zapier steps and call it automation" kind of role. You will be designing multi-step workflows where AI agents research companies, enrich data through APIs, personalize messaging intelligently, and deliver outputs into client tools. Each campaign is a custom system with moving parts that need to work together cleanly.
Responsibilities:
Build and manage complex n8n workflows that pull data from multiple sources, enrich it through APIs and AI, and deliver personalized outputs.
Design Airtable bases that structure client data, automate processing, and integrate with external tools.
Set up and manage email infrastructure: domains, deliverability, sending sequences.
Use AI tools (Claude, GPT) to build research and personalization layers into client workflows.
Handle client onboarding, ongoing communication, and technical troubleshooting.
Own your campaigns. When something breaks at 2 PM on a Tuesday, you fix it. When a client asks why response rates dropped, you investigate and have an answer.
What your weeks will look like:
You will onboard new clients, understand their ICP and outreach goals, then build and deploy the technical infrastructure to execute those campaigns.
You will monitor live campaigns, troubleshoot when something breaks, and optimize for better results over time.
You will hop on video calls with clients when needed, but the bulk of your time is building and maintaining systems that work.
Requirements:
You are someone who figures things out. You read documentation, test until it works, and do not give up when the first approach fails. You have strong technical intuition even if you are not a traditional developer. You understand how APIs work, how data flows between systems, and how to debug when something is not behaving as expected.
You follow AI developments closely. Not casually. You know the practical performance difference between Claude Opus 4.6 and GPT 5.4 you have opinions on which tools are overhyped, and you have probably built something with AI that you are proud of, even if it was just for yourself.
You are hungry. Not in a clich motivational poster way. You genuinely want to get better at what you do, you take ownership of your work, and you do not need someone checking in on you every few hours to make sure you are making progress.
Core skills (non-negotiable):
n8n: You have built workflows and understand how nodes, data flow, and error handling work.
Airtable: Comfortable building bases, writing formulas, and setting up automations.
AI tools: Regular, meaningful use of Claude or ChatGPT. You know how to prompt effectively and understand the limitations.
Technical aptitude: You pick up new tools fast and figure things out from documentation, not tutorials.
English proficiency: Written and spoken. You will be communicating with international clients.
Great to have (you can learn these on the job):
Experience with cold email and outbound systems (Smartlead, Instantly, or similar).
Understanding of email deliverability (SPF, DKIM, domain setup). API integration and webhook experience.
Data enrichment workflows using tools like Apollo, web scraping, or similar.

Experience
0-4 yrs