← All roles

Lead/Staff Engineer - Applied AI

GoHighLevel· Engineering – AI & Marketplace
Apply on company site
RemoteEmployee IndiaPosted 2w ago

About the role

Seasoned engineer to lead the development of LLM-powered AI agents and next-gen Generative AI systems that drive core product functionality and customer-facing automation at scale.

Responsibilities

  • 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) tailored to HighLevel's unique data and customer use cases
  • Develop robust retrieval-augmented generation (RAG) systems and vector search infrastructure to enable context-rich, real-time generation
  • Design and iterate on prompt engineering, context construction, and agent tool usage strategies using frameworks like LangChain
  • Apply core data science methods — modeling, A/B testing, scoring, clustering, and time-series forecasting — to enhance agent intelligence and broader product features
  • Partner with backend, infra, and product teams to build reusable, scalable GenAI infrastructure: model serving, prompt versioning, logging, evals, and feedback loops
  • Continuously evaluate and monitor agent performance, hallucination rates, and real-world effectiveness using rigorous experimentation frameworks
  • Influence HighLevel's AI roadmap while mentoring engineers and contributing to technical standards and best practices

Qualifications

  • 9+ years of experience in Data Science, Machine Learning, or Applied AI, with a track record of delivering production-grade models and systems
  • Hands-on expertise with LLMs: fine-tuning, prompt engineering, function-calling agents, embeddings, and evaluation techniques
  • Strong experience in building retrieval-augmented generation (RAG) systems using vector databases (e.g., FAISS, Pinecone, Weaviate)
  • Experience working in cloud-native environments (GCP, AWS) and deploying models with frameworks like 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) and familiarity with TypeScript
  • Solid foundation in core data science: 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 model iteration
  • Ability to work independently and collaboratively, leading initiatives and mentoring peers in a fast-paced, cross-functional environment
  • Strong product sense and communication skills—able to translate between technical constraints and product goals

Skills

Required:Data Science fundamentalsLLM expertiseRAG and vector databasesLangChain or similarPython
Nice to have:TypeScript

Benefits

  • We encourage you to review our Privacy Policy before submitting your application (see EEO/privacy notes in description)
Last updated Oct 21, 2026. Interested? Apply on the company site.

About GoHighLevel

It's time to take your Agency to the Next Level

HighLevel is the all-in-one sales & marketing platform that agencies can white-label and resell to their clients!

CRMMarketingSalesAutomationWhite Label
Company profileWebsite

More open roles at GoHighLevel