Lead/Staff Engineer - Applied AI

📋 Description

• Architect and deploy autonomous AI agents that execute workflows across sales, messaging
• Build and fine-tune LLMs (open-source and API-driven) tailored to HighLevel's unique data and
• Develop robust retrieval-augmented generation (RAG) systems and vector search infrastructure to
• Design and iterate on prompt engineering, context construction, and agent tool usage strategies
• Apply core data science methods — modeling, A/B testing, scoring, clustering, and time-series
• Partner with backend, infra, and product teams to build reusable, scalable GenAI infrastructure

🎯 Requirements

• 8+ years of experience in Data Science, Machine Learning, or Applied AI, with a track record of
• Hands-on expertise with LLMs: fine-tuning, prompt engineering, function-calling agents, embeddings
• Strong experience in building retrieval-augmented generation (RAG) systems using vector databases
• Experience working in cloud-native environments (GCP, AWS) and deploying models with frameworks
• Experience with LangChain or similar agent orchestration frameworks; ability to design multi-step
• Proficiency in Python, with strong engineering practices (CI/CD, testing, versioning) and