About this role
Lead end-to-end AI/ML projects to design, build, and deploy LLM-driven features for EvolutionIQ’s claim synthesis product, using hybrid approaches that combine LLMs, statistical ML, RAG, and embeddings. Provide technical leadership and architectural decisions, optimize production AI/ML systems, and collaborate closely with Product, Engineering, data labelers, and subject matter experts to evaluate and improve model performance.
Skills for this role
PythonLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)EmbeddingsVector SearchSimilarity MeasuresPrompt EngineeringFine-tuning of Large Language ModelsStatistical Machine LearningAPI DevelopmentMicroservice ArchitectureModel EvaluationModel DeploymentProduction Machine LearningSystem ArchitectureScalabilityReliability EngineeringPerformance OptimizationMaintainabilityHuman-in-the-loop WorkflowsCollaboration with Data LabelersCollaboration with Subject Matter ExpertsAgentic/Autonomous SystemsMultimodal Data (imagesaudio)