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About Us:
We’re a growth-focused performance marketing and systems architecture firm operating at the intersection of AI, automation, and real-world ROI. We specialize in high-volume lead gen, consumer finance, wellness, and emerging AI infrastructure — and we’re building out a smarter, scalable martech stack.
We’re looking for an AI Prompt Engineer who isn’t just good with words — but can wire entire workflows, chain agents with memory, and automate revenue pipelines using tools like Make.com, Langchain, and API-first thinking.
What You’ll Do:
- Craft, test, and refine high-performance prompts for ChatGPT and OpenAI APIs (system, assistant, and user message logic)
- Build automation flows using Make.com, Zapier, and custom webhooks that connect APIs, data validation services, and lead delivery pipelines
- Use Langchain to develop agents, manage memory, chain tools, and integrate external data sources (e.g. credit checks, CRMs, databases)
- Translate marketing goals into AI logic — lead qualification, funnel routing, content personalization, and real-time interactions
- Collaborate with engineers and marketers to build AI-driven landing pages, quiz flows, and chat-based lead systems
Required Skills:
- Advanced prompt engineering experience using ChatGPT or OpenAI APIs
- Deep working knowledge of Make.com (Integromat) or Zapier for automation workflows
- Proficient with API integration (auth, payload handling, data parsing, error handling)
- Proven track record with Langchain — agents, tools, memory, chains, and retrievers
- Ability to build and optimize full-stack flows: from prompt to user-facing automation
Bonus Points If You:
- Have deployed AI agents for lead qualification or sales funnels
- Know how to embed AI into web experiences (quiz → chat → CRM → credit pull → BPO transfer)
- Have experience with vector databases like Pinecone, Weaviate, or Chroma
- Can reverse-engineer prompt underperformance and optimize for token usage and clarity
- Understand marketing logic (AIDA, funnel stages, conversion strategy) and can translate it into prompt structure or system flows
Tools We Use:
- OpenAI / ChatGPT
- Langchain
- Make.com (Integromat)
- Zapier
- Outgrow, Typeform, custom quiz logic
- REST APIs, CRMs, webhooks, lead validation platforms
- Pinecone or RAG stack tools (plus, but not required)
To Apply:
Send your resume and:
- One or two examples of prompts or automation flows you’ve built
- (Optional) A Loom or short paragraph on how you’d use Langchain + Make to qualify a lead and deliver it to a CRM/BPO
Let me know if you'd like this formatted into Google Docs, Notion, Webflow, or LinkedIn Recruiter-friendly format next.