Lead AI Engineer
Core
Lead technical development and delivery of classical ML and GenAI solutions to production, providing hands-on guidance to a team.
Role type
Senior IC Lead AI Engineer (Classical ML & GenAI)
Builds
Production AI/ML systems, RAG pipelines, AI agents, and scalable model serving infrastructure
Domain
Artificial Intelligence, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
Classical ML (gradient boosting, regression, classification, recommender systems), GenAI (LLMs, RAG, AI agents), Python, MLOps, Cloud platforms (AWS/Azure/GCP), Vector databases, Agent frameworks (LangChain, LangGraph, PydanticAI), Feature engineering, Model validation, Experiment design
Preferred skills
LLM fine-tuning (LoRA, QLoRA), Open-source contributions, Applied research in ML/NLP/LLMs
Technologies
PyTorch, scikit-learn, XGBoost, LightGBM, LangChain, LangGraph, PydanticAI, Vector databases
Responsibilities
Lead end-to-end technical implementation of AI/ML projects from prototyping to production deployment; Design and review architecture of AI systems including data pipelines and model serving; Guide development of classical ML models and GenAI solutions; Evaluate and select approaches based on accuracy, cost, and performance; Provide hands-on technical guidance and mentor AI engineers; Implement engineering best practices for code quality, testing, CI/CD, and MLOps; Collaborate with product and data teams to translate business requirements into technical solutions; Troubleshoot complex technical challenges and optimize system performance
Seniority
Senior, hands-on IC with leadership responsibilities
