Lead/Staff Engineer - Applied AI
Core
Lead development of LLM-powered AI agents and next-gen Generative AI systems for core product functionality and customer-facing automation.
Role type
Lead/Staff Applied AI Engineer (LLM Agents & RAG) (via careerplan.io/jobs/7dd65f11-f2f6-43fd-bff4-da44f959a47c-leadstaff-engineer-applied-ai-at-gohighlevel)
Builds
Autonomous AI agents, retrieval systems, and dynamic agents for personalized communication and intelligent scheduling.
Domain
SaaS / Generative AI / Applied AI
Deliverable
production ML models
Required skills
LLM fine-tuning, prompt engineering, function-calling agents, embeddings, RAG systems, vector databases, cloud-native deployment, agent orchestration, Python engineering, core data science, model monitoring
Preferred skills
TypeScript, MLOps tools, causal inference, statistical testing, time-series forecasting
Technologies
PyTorch, Transformers (HF), LangChain, FAISS, Pinecone, Weaviate, GCP, AWS
Responsibilities
Architect and deploy autonomous AI agents for sales, messaging, and operations; Build and fine-tune LLMs tailored to customer use cases; Develop robust RAG systems and vector search infrastructure; Design and iterate on prompt engineering and agent tool usage strategies; Apply core data science methods to enhance agent intelligence; Partner with teams to build scalable GenAI infrastructure; Continuously evaluate and monitor agent performance and hallucination rates; Influence AI roadmap and mentor engineers.
