Lead Engineer – Applied AI

This is a fully remote position, open to applicants in India.

📋 Description

• Design and implement autonomous AI agents for sales, messaging, scheduling, and operational workflows.

• Construct and optimize open-source and API-driven LLMs tailored for HighLevel’s data and customer requirements.

• Create RAG systems and vector search frameworks for contextually rich, real-time generation.

• Develop and refine strategies for prompt engineering, context creation, and agent tool utilization using frameworks like LangChain.

• Utilize modeling, A/B testing, scoring, clustering, and time-series forecasting to enhance agent intelligence and product functionalities.

• Collaborate with backend, infrastructure, and product teams to establish scalable GenAI infrastructure, encompassing model serving, prompt versioning, logging, evaluations, and feedback loops.

• Assess and track agent performance, hallucination rates, and real-world effectiveness through experimental methods.

• Shape HighLevel’s AI roadmap, guide engineers, and contribute to technical standards and best practices.

⛳️ Requirements

• A minimum of 8 years of experience in Data Science, Machine Learning, or Applied AI, with a proven history of delivering production-grade models and systems.

• Practical expertise with LLMs: fine-tuning, prompt engineering, function-calling agents, embeddings, and evaluation methodologies.

• Significant experience in building retrieval-augmented generation (RAG) systems utilizing vector databases like FAISS, Pinecone, or Weaviate.

• Familiarity with cloud-native environments including GCP and AWS.

• Experience in deploying models using PyTorch, Transformers (HF), and MLOps tools.

• Knowledge of LangChain or related agent orchestration frameworks.

• Capability to design multi-step, tool-augmented agents.

• Proficiency in Python along with familiarity in TypeScript.

• Strong engineering practices, including CI/CD, testing, and version control.

• Understanding of supervised and unsupervised learning, causal inference, statistical testing, segmentation, and time-series forecasting.

• Experience transitioning ML/AI solutions from prototype to production, including monitoring, observability, and model iteration.

• Ability to work autonomously and collaboratively, lead projects, and mentor colleagues.

• Strong product intuition and communication abilities.

• This position is designated for candidates in India.

🏝️ Benefits

• Remote-first work environment.

• Opportunity to engage with high-impact, high-autonomy AI systems.

• Opportunities for mentoring and peer collaboration.