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