🛠 Tech Stack

💼 About This Role

You'll design and deploy Generative AI solutions that transform marketing technology at scale. Your work bridges AI research, software engineering, and product strategy to build production-ready AI architectures like LLM systems and RAG pipelines.

🎯 What You'll Do

• Design and deploy scalable cloud-based AI systems for marketing applications
• Lead Generative AI solutions from research to production deployment
• Build and optimize RAG pipelines, vector databases, and multi-agent workflows
• Develop backend services and RESTful APIs in Python, Java, or Node.js
• Evaluate AI initiatives for technical feasibility and business value

📋 Requirements

• 5+ years of professional software engineering experience
• 2+ years applying Generative AI (LLMs, RAG, multi-agent) in production
• Strong experience building scalable backend systems and RESTful APIs
• Working knowledge of cloud platforms like AWS, GCP, or Azure

✨ Nice to Have

• Experience with AI frameworks such as LangChain or OpenAI APIs
• Mentoring engineers
• Experience with marketing automation platforms like HubSpot

🎁 Benefits & Perks

• 💰 Competitive cash compensation $148,500-$222,800
• 🏆 Bonuses, commissions, and equity (RSUs depending on role)
• 🏖️ Remote work flexibility within the United States
• 🌱 Learning and innovation culture with cutting-edge AI work

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Discussion· 45 min