Confido LegalNew York, NYBuild and deploy AI/ML systems including LLM-powered document extraction, agentic workflows, sales forecasting, anomaly detection, and promotion optimization for CPG brands. Requires 2+ years applied AI/ML and 6+ years production software engineering experience.
Required
Nice to Have
Be the first dedicated owner of Confido's ML platform, owning end-to-end ML pipelines, infrastructure for training/inference/agentic workloads, and providing reproducible environments for the AI/ML team in a fast-growing CPG AI startup.
Develop and integrate ML detection and tracking models for autonomous vehicle perception using production pipelines and vehicle sensor data. Requires Python/PyTorch experience and familiarity with modern detection/tracking architectures.
Senior ML Engineer building observability, evaluation frameworks, and improvement loops for production agentic AI systems. Requires 5+ years production ML/LLM experience, strong grounding in agent design or evaluation, and hands-on work taking systems from prototype to scale.
Build platform infrastructure for observing, evaluating, and improving production AI agents at scale. Requires 4+ years software engineering experience with ML/LLM systems, strong backend/distributed systems skills, and collaboration with ML engineers.
Build and scale full-stack systems for Scale AI's Generative AI Data Engine, owning contributor platform features that power high-impact datasets for LLMs. Requires 5+ years experience with React, TypeScript, Node.js, and strong product sense in a hybrid SF/NY environment.