Lead/Staff Engineer - Applied AI

The role

You will lead the development of LLM-powered AI agents and Generative AI systems that drive core product features and customer-facing automation at scale. The work covers building models, retrieval systems and agents that serve millions of users, from research to production.

What you will do

• Architect and deploy autonomous AI agents that execute workflows across sales, messaging, scheduling and operations
• Build and fine-tune LLMs, open-source and API-driven, for HighLevel's data and customer use cases
• Develop retrieval-augmented generation (RAG) systems and vector search infrastructure
• Design and iterate on prompt engineering, context construction and agent tool usage using frameworks like LangChain
• Apply data science methods such as modeling, A/B testing, scoring, clustering and time-series forecasting
• Partner with backend, infra and product teams to build reusable GenAI infrastructure: model serving, prompt versioning, logging, evals and feedback loops
• Continuously evaluate and monitor agent performance, hallucination rates and real-world effectiveness
• Influence the AI roadmap while mentoring engineers and setting technical standards and best practices

Required qualifications

• 9+ years of experience in Data Science, Machine Learning or Applied AI, with production-grade models and systems
• Hands-on expertise with LLMs: fine-tuning, prompt engineering, function-calling agents, embeddings and evaluation
• Strong experience building RAG systems using vector databases such as FAISS, Pinecone or Weaviate
• Experience in cloud-native environments (GCP, AWS) deploying models with PyTorch, Transformers (HF) and MLOps tools
• Experience with LangChain or similar agent orchestration frameworks; ability to design multi-step, tool-augmented agents
• Proficiency in Python with strong engineering practices (CI/CD, testing, versioning); familiarity with TypeScript
• Solid foundation in supervised and unsupervised learning, causal inference, statistical testing, segmentation and time-series forecasting
• Proven experience taking ML/AI solutions from prototype to production, including monitoring, observability and iteration
• Ability to work independently and collaboratively, leading initiatives and mentoring peers in a fast-paced, cross-functional setting
• Strong product sense and communication skills, translating between technical constraints and product goals

Before you apply

• Applicants are asked to voluntarily provide demographic information for compliance; refusing does not affect application status

About the company

HighLevel is an AI-powered business operating system serving over 1 million businesses in 150+ countries. It is a global, remote-first organization with more than 2,000 team members across 10+ countries.