1 month ago
India (city not specified)Staff+
Responsibilities
- Architect and deploy autonomous AI agents that execute workflows across sales, messaging, scheduling, and operations.
- Build and fine-tune open-source and API-driven LLMs for HighLevel data and customer use cases.
- Develop retrieval-augmented generation systems and vector search infrastructure for context-rich, real-time generation.
- Design and iterate on prompts, context construction, and agent tool-use strategies with LangChain.
- Apply modeling, A/B testing, scoring, clustering, and time-series forecasting to improve agent intelligence and product features.
- Build reusable GenAI infrastructure with backend, infrastructure, and product teams, including model serving, prompt versioning, logging, evaluations, and feedback loops.
- Monitor agent performance, hallucination rates, and real-world effectiveness through experimentation.
- Influence the AI roadmap, mentor engineers, and contribute to technical standards and best practices.
Requirements
- 8+ years of experience in data science, machine learning, or applied AI with a record of delivering production-grade models and systems.
- Hands-on expertise with LLM fine-tuning, prompt engineering, function-calling agents, embeddings, and evaluation techniques.
- Strong experience building RAG systems with vector databases such as FAISS, Pinecone, or Weaviate.
- Experience with GCP or AWS and model deployment using PyTorch, Transformers, and MLOps tools.
- Experience with LangChain or similar agent orchestration frameworks and multi-step, tool-augmented agent design.
- Proficiency in Python and familiarity with TypeScript.
- Strong foundations in supervised and unsupervised learning, causal inference, statistical testing, segmentation, and time-series forecasting.
- Experience taking ML and AI solutions from prototype to production, including monitoring, observability, and model iteration.
- Ability to lead initiatives, mentor peers, work independently and collaboratively, and communicate technical constraints to product stakeholders.
Benefits
- Remote-first work environment with team members across 10+ countries.
Categories
About HighLevel
HighLevel builds a white-label, all-in-one marketing and CRM platform for agencies, entrepreneurs, and SMBs, combining lead capture, automation, email/SMS, websites and funnels, payments, and appointment management. Founded in 2018 and headquartered in Dallas, it is privately held and raised $60M in private equity funding in 2024. The subscription SaaS serves customers in 150+ countries and is used by over one million businesses.